I strongly believe in the quote; "Anything worth doing is worth doing well!", by Hunter S Thompson and I always strive to achieve only the best in what I do, leading by example, always!
Rahul Budhiraja is seeking a master's program to further his research interests in augmented reality. He has a B.Tech in information technology from Indian Institute of Information Technology with research experience including augmented reality applications for military and education. His skills include C++, OpenGL and experience with augmented reality, computer vision and human computer interaction projects. He provides three academic references and one industrial reference.
Nishant Poras has an M.Tech in ICT with a specialization in VLSI design. He has work experience as a graduate engineer trainee at Simmtronics Semiconductors Limited where he learned about manufacturing processes. His objective is to work in a knowledgeable environment where performance is rewarded with new responsibilities. He has published several papers in journals and conferences on topics related to VLSI design and CMOS LNAs.
Rahul Budhiraja seeks to pursue a Master's degree to further his research interests in augmented reality, computer vision, and human-computer interaction. He holds a B.Tech in Information Technology from IIIT Allahabad with a CGPI of 8.4/10 and conducted his thesis on tracking methods in augmented reality. His research experience includes projects in augmented reality applications for the military and universities. He is skilled in programming languages like C, C++, and ActionScript and 3D software like Blender and Poser Pro.
This resume summarizes an individual with 12 years of experience in teaching, research, and patents. Some of the key details include:
- He has filed one patent that is currently awaiting examination and is working on a second patent. His education includes an MCA degree and pursuing a PhD.
- His research experience includes 18 published papers, guiding 4 master's students, and leading innovative projects. One of his patents is in an awaiting examination stage.
- His professional experience includes over 12 years as an Associate Professor teaching courses and coordinating online exams for over 500,000 students annually.
- He has received several awards for his research and papers, including two best paper awards and best reviewer awards from international journals
My career has been focused on high impact research, practice and education in Network Security (Password system) starting with my doctoral thesis. Effective Network Security (Password system) requires science, engineering, business, policy and people skills. My goal is to instill this culture in the discipline and provide leadership in all elements.
Raj Kumar is seeking an entry-level position that allows him to apply his knowledge and skills in electronics engineering. He has a B.Tech in Electronics from the University of Delhi with high grades. His experience includes multiple projects in areas like data acquisition, agricultural monitoring, and robotics. He has participated in training programs and workshops on topics such as FPGA design, Raspberry Pi, and robotics. Raj Kumar received awards for his projects and publications. His technical skills include programming languages like C/C++ and tools like Arduino. He held leadership roles and has strong communication and problem-solving abilities.
Rakesh Kumar Sinha is an expert programmer and computer scientist with over 3 years of experience in areas like artificial intelligence, web development, scientific programming, GIS mapping, network programming, data visualization, and mobile app development. He has worked as a research scientist at SAMEER, IIT Bombay developing software for weather research including pilot balloon tracking systems, weather radar data acquisition, and surface observation tools. He has a bachelor's degree in computer science and has knowledge of languages like C++, C#, Python, ASP.NET, and skills in tools like Eclipse and Visual Studio.
S. Vivek Kumar is seeking a career opportunity where he can utilize his skills and talents to meet company goals. He has a B.Tech in Electronics and Communication Engineering from PSCMR College of Engineering & Technology and is currently pursuing an M.Tech in Computer Science Engineering with a specialization in cloud computing from VIT University Chennai. His educational qualifications and projects demonstrate strengths in areas such as programming, cloud technologies, and virtualization.
Rahul Budhiraja is seeking a master's program to further his research interests in augmented reality. He has a B.Tech in information technology from Indian Institute of Information Technology with research experience including augmented reality applications for military and education. His skills include C++, OpenGL and experience with augmented reality, computer vision and human computer interaction projects. He provides three academic references and one industrial reference.
Nishant Poras has an M.Tech in ICT with a specialization in VLSI design. He has work experience as a graduate engineer trainee at Simmtronics Semiconductors Limited where he learned about manufacturing processes. His objective is to work in a knowledgeable environment where performance is rewarded with new responsibilities. He has published several papers in journals and conferences on topics related to VLSI design and CMOS LNAs.
Rahul Budhiraja seeks to pursue a Master's degree to further his research interests in augmented reality, computer vision, and human-computer interaction. He holds a B.Tech in Information Technology from IIIT Allahabad with a CGPI of 8.4/10 and conducted his thesis on tracking methods in augmented reality. His research experience includes projects in augmented reality applications for the military and universities. He is skilled in programming languages like C, C++, and ActionScript and 3D software like Blender and Poser Pro.
This resume summarizes an individual with 12 years of experience in teaching, research, and patents. Some of the key details include:
- He has filed one patent that is currently awaiting examination and is working on a second patent. His education includes an MCA degree and pursuing a PhD.
- His research experience includes 18 published papers, guiding 4 master's students, and leading innovative projects. One of his patents is in an awaiting examination stage.
- His professional experience includes over 12 years as an Associate Professor teaching courses and coordinating online exams for over 500,000 students annually.
- He has received several awards for his research and papers, including two best paper awards and best reviewer awards from international journals
My career has been focused on high impact research, practice and education in Network Security (Password system) starting with my doctoral thesis. Effective Network Security (Password system) requires science, engineering, business, policy and people skills. My goal is to instill this culture in the discipline and provide leadership in all elements.
Raj Kumar is seeking an entry-level position that allows him to apply his knowledge and skills in electronics engineering. He has a B.Tech in Electronics from the University of Delhi with high grades. His experience includes multiple projects in areas like data acquisition, agricultural monitoring, and robotics. He has participated in training programs and workshops on topics such as FPGA design, Raspberry Pi, and robotics. Raj Kumar received awards for his projects and publications. His technical skills include programming languages like C/C++ and tools like Arduino. He held leadership roles and has strong communication and problem-solving abilities.
Rakesh Kumar Sinha is an expert programmer and computer scientist with over 3 years of experience in areas like artificial intelligence, web development, scientific programming, GIS mapping, network programming, data visualization, and mobile app development. He has worked as a research scientist at SAMEER, IIT Bombay developing software for weather research including pilot balloon tracking systems, weather radar data acquisition, and surface observation tools. He has a bachelor's degree in computer science and has knowledge of languages like C++, C#, Python, ASP.NET, and skills in tools like Eclipse and Visual Studio.
S. Vivek Kumar is seeking a career opportunity where he can utilize his skills and talents to meet company goals. He has a B.Tech in Electronics and Communication Engineering from PSCMR College of Engineering & Technology and is currently pursuing an M.Tech in Computer Science Engineering with a specialization in cloud computing from VIT University Chennai. His educational qualifications and projects demonstrate strengths in areas such as programming, cloud technologies, and virtualization.
1) Dr. Detchai Duangsang encourages science teachers to learn about robotics technology to apply to their teaching and help students understand the importance of lifelong learning for the 21st century.
2) Using robots and AI in a chemistry course improved student test scores and satisfaction based on pre/post-test comparisons and surveys.
3) The learning environment engaged students in robotics and AI, had them explore plastics properties through experiments, and elaborated their knowledge by creating robots for environmental protection.
This document describes a research project comparing object-oriented and procedural programming in Lingo. The project involved developing a program called "Creative Ant Farm" using object-oriented programming in Lingo. The program allows users to create a drawing on a grid that is then reconstructed by animated ants carrying leaves. Six classes were developed for the object-oriented design, including classes for managing the app, the grid, ants, and leaves. The goals of the project were to gain familiarity with object-oriented concepts in Lingo and compare the two programming paradigms.
Soubhagya Behera is seeking an internship in data structures, algorithms, machine learning, and computer vision. He has a BTech in Computer Science from Veer Surendra Sai University of Technology with a 8.86 CGPA. His relevant experience includes internships in defense research, high performance computing, and web development. He has strong skills in OpenCV, PHP, machine learning, deep learning, and programming languages like C++, Python, and Java.
Piyush Tiwary is a 4th year undergraduate student studying Electrical Engineering at Indian Institute of Technology Patna. He has experience in research internships involving speaker diarization and developing backend systems using Java and Spring Framework. He is skilled in programming languages like C, C++, Python and tools like Tensorflow, PyTorch. His projects include developing a chatbot using RNNs, predicting crimes using machine learning algorithms and building a Chrome extension for browsing history. He has represented IIT Patna in badminton tournaments and mentored deep learning projects at the Developer Students Club.
Anupam Srivastava is a fourth year undergraduate student at Indian Institute of Information Technology-Allahabad pursuing a B.Tech in IT with a CGPA of 9.60. His objective is to work in an intellectually stimulating environment that promotes continuous learning and understanding of technology and management. He has completed projects in document summarization, genetic algorithms for reversible logic circuits, and wireless sensor network scheduling. His areas of interest include machine learning, cognitive science, and human-computer interaction. He has received awards including the MITACS Globalink scholarship and research fellowships at IIT Delhi.
K. Venkataramana has over 8 years of experience working as an assistant and associate professor teaching computer science. He has a M.Tech in Computer Science and Engineering with over 10 publications in international journals. He is seeking an academic position where he can conduct research and teach students.
Video content analysis and retrieval system using video storytelling and inde...IJECEIAES
Videos are used often for communicating ideas, concepts, experience, and situations, because of the significant advances made in video communication technology. The social media platforms enhanced the video usage expeditiously. At, present, recognition of a video is done, using the metadata like video title, video descriptions, and video thumbnails. There are situations like video searcher requires only a video clip on a specific topic from a long video. This paper proposes a novel methodology for the analysis of video content and using video storytelling and indexing techniques for the retrieval of the intended video clip from a long duration video. Video storytelling technique is used for video content analysis and to produce a description of the video. The video description thus created is used for preparation of an index using wormhole algorithm, guarantying the search of a keyword of definite length L, within the minimum worst-case time. This video index can be used by video searching algorithm to retrieve the relevant part of the video by virtue of the frequency of the word in the keyword search of the video index. Instead of downloading and transferring a whole video, the user can download or transfer the specifically necessary video clip. The network constraints associated with the transfer of videos are considerably addressed.
The document provides information about an industrial training program in embedded technology offered by DKOP Labs Pvt. Ltd. The 6-month program will provide both theoretical and practical skills in areas like operating systems, shell scripting, microcontrollers, C programming, embedded systems, real-time operating systems, device drivers, and soft skills. The training is conducted in partnership with major EDA companies and aims to enhance students' employability in the semiconductor industry. The batch will commence in July 2011 with 48 seats and fees of Rs. 33,090. Benefits for students include hands-on experience, career opportunities, and infrastructure facilities like computers and a library.
The document contains Rishabh Dubey's resume, including his educational qualifications from Daisy Dales School and IIT Guwahati, work experience as a software development intern, projects involving compiler design, network systems, computer vision, and Android applications, technical skills in programming languages, databases and operating systems, and extracurricular activities involving sports and technology events.
IRJET-3D Object Tracking and Manipulation in Augmented RealityIRJET Journal
1. The document discusses developing a system using augmented reality to improve learning and understanding of concepts for consumers and workers through interactive 3D models.
2. It proposes using Unity and Vuforia to create AR applications that can detect printed images and display corresponding 3D objects. Users could then observe animations of products to understand their workings.
3. The system aims to make learning more effective by allowing visual and audio-visual observation of concepts, rather than relying solely on text, which takes advantage of human learning abilities.
Mrs. Saylee Sandeep Bidwai is applying for a position focusing on Network on Chip Architectures. She has over 10 years of teaching experience and holds a PhD in Electronics, M.E. in Electronics, and B.E. in Electronics. She has published papers in journals and conferences and conducted several workshops and training programs. Her expertise includes VLSI design, embedded systems, and digital signal processing.
Dr. Shashikant Sadistap is a Senior Principal Scientist at the Central Electronics Engineering Research Institute in Pilani, India. He has 27 years of experience developing embedded systems and real-time instrumentation for applications in water, aquaculture, power electronics, and agriculture. Some of his areas of expertise include intelligent instrumentation, embedded systems design, and soft computing for smart sensors and systems. He has successfully completed 16 major projects and transferred technologies to industries and government organizations.
IRJET- Hand Sign Recognition using Convolutional Neural NetworkIRJET Journal
1) The document presents a study on using a convolutional neural network (CNN) to recognize American Sign Language (ASL) alphabets captured in real-time via a webcam.
2) The researchers trained a CNN model on 1600 images of 5 ASL alphabets (E, F, I, L, V) and tested it on 320 unlabeled images, achieving a validation accuracy of 74.8%.
3) While the model showed potential, the researchers acknowledged limitations like overfitting due to the small dataset and noted areas for improvement like recognizing a broader range of ASL letters and full sentences.
This document provides a detailed bio-data of Prof. K. Deergha Rao including his educational background, teaching and research experience, publications, projects, awards and other professional details. Some key points:
- Prof. Rao received his B.E., M.E. and Ph.D. from institutions in India and conducted postdoctoral research at Concordia University, Canada.
- He has over 30 years of teaching experience and has guided over 25 M.E. students and 3 Ph.D. students.
- His research interests include wireless communications, signal processing and VLSI. He has over 100 publications in international and national journals and conferences.
- Prof. R
Ajay Singh is seeking a challenging position that allows him to continuously learn and develop his skills. He has a B.Tech in Electronics and Communication from MGM College of Engineering and Technology with 66.26% marks through 3rd year. He has skills in programming languages like Java, PHP, HTML, and C as well as operating systems like Windows and Linux. He completed an academic project involving a Raspberry Pi microcontroller interfacing with a camera and servo motor. Ajay is pursuing Huawei certification in telecommunications and has completed certification courses in Java and C programming. He received awards for winning a cricket tournament and participating in competitions involving Texas Instruments and cybersecurity.
6-wall CAVE Immersive 3D Visualization Laboratory DemonstratorJan Klimczak
This document is a master's thesis submitted by Jan Klimczak. It discusses developing applications to run in Cave Automatic Virtual Environments (CAVEs). It provides an overview of existing CAVE systems, including those at Gdansk University of Technology and Silesian University of Technology in Poland. It then describes the methodology for developing CAVE applications, including libraries, frameworks, and editors. Finally, it outlines a demonstration application developed by the author to run in the CAVE at Gdansk University of Technology.
This document contains the resume of Aditya Gupta. It outlines his education history including a current PhD in smart water systems at VNIT in Nagpur, India. It also lists his past masters and bachelors degrees as well as projects related to topics like biometric recognition, underwater robots, and more. His research interests and skills in areas like water leakage detection, optimization modeling, and hardware/software tools are mentioned. The resume concludes with his teaching experience and involvement in social organizations.
Artificial intelligence in cyber defenseDinesh More
This document discusses the use of artificial intelligence in cyber defense. It argues that AI is needed to rapidly analyze large amounts of data and react to the evolving threats in cyberspace, which humans cannot do alone without considerable automation. The document provides an overview of artificial intelligence as a field, and surveys existing AI applications in cyber defense that use techniques like artificial neural networks, expert systems, intelligent agents, search algorithms, machine learning, and data mining. It concludes that while useful AI applications already exist, many cyber defense problems could be better solved by incorporating more intelligent methods.
This document contains the resume of Vipul Nathani. It summarizes his contact information, career objective, skills, education, experience, projects, workshops/training programs, extracurricular activities and achievements. Nathani has a Bachelor's degree in Electronics and Communication engineering. He has experience as a trainee Android developer and has worked on several projects related to assistive technologies for differently abled people using technologies like Arduino, Raspberry Pi and Android app development. He has received recognition and awards for his projects and has participated in various technical competitions and events.
Aditya Pattnaik has 3 years of experience developing applications using Python, Flask, Django, and machine learning tools like Tensorflow. He currently works as a Senior System Engineer at Infosys where he builds an FAQ bot using scikit-learn, Tensorflow, Keras, Docker and other tools. Previously he created a dashboard for analyzing server performance and user sessions using Python, Django, and other technologies. He has skills in programming languages, APIs, databases, operating systems, and machine learning tools.
Alok Ranjan Bhoi is a Master in Computer Application graduate from Sambalpur University Institute of Information Technology seeking a career in machine learning. He has experience with projects involving face recognition using KNN, credit card fraud detection using logistic regression, and board game review prediction using linear regression. Additionally, he has completed online certifications in data science topics like Python, R, SQL, and machine learning and has experience with languages like C, Python, and R. His ultimate goal is to become a data scientist.
Jinank Jain has excellent academic qualifications, including being currently ranked 2nd in his department and 3rd in his institute. He has significant experience in computer science and related fields, including multiple internships and open source contributions. His technical skills include proficiency in C++, C, PHP, and experience with Java, Python, JavaScript, and databases. He has taken on positions of responsibility in student organizations at his institute.
1) Dr. Detchai Duangsang encourages science teachers to learn about robotics technology to apply to their teaching and help students understand the importance of lifelong learning for the 21st century.
2) Using robots and AI in a chemistry course improved student test scores and satisfaction based on pre/post-test comparisons and surveys.
3) The learning environment engaged students in robotics and AI, had them explore plastics properties through experiments, and elaborated their knowledge by creating robots for environmental protection.
This document describes a research project comparing object-oriented and procedural programming in Lingo. The project involved developing a program called "Creative Ant Farm" using object-oriented programming in Lingo. The program allows users to create a drawing on a grid that is then reconstructed by animated ants carrying leaves. Six classes were developed for the object-oriented design, including classes for managing the app, the grid, ants, and leaves. The goals of the project were to gain familiarity with object-oriented concepts in Lingo and compare the two programming paradigms.
Soubhagya Behera is seeking an internship in data structures, algorithms, machine learning, and computer vision. He has a BTech in Computer Science from Veer Surendra Sai University of Technology with a 8.86 CGPA. His relevant experience includes internships in defense research, high performance computing, and web development. He has strong skills in OpenCV, PHP, machine learning, deep learning, and programming languages like C++, Python, and Java.
Piyush Tiwary is a 4th year undergraduate student studying Electrical Engineering at Indian Institute of Technology Patna. He has experience in research internships involving speaker diarization and developing backend systems using Java and Spring Framework. He is skilled in programming languages like C, C++, Python and tools like Tensorflow, PyTorch. His projects include developing a chatbot using RNNs, predicting crimes using machine learning algorithms and building a Chrome extension for browsing history. He has represented IIT Patna in badminton tournaments and mentored deep learning projects at the Developer Students Club.
Anupam Srivastava is a fourth year undergraduate student at Indian Institute of Information Technology-Allahabad pursuing a B.Tech in IT with a CGPA of 9.60. His objective is to work in an intellectually stimulating environment that promotes continuous learning and understanding of technology and management. He has completed projects in document summarization, genetic algorithms for reversible logic circuits, and wireless sensor network scheduling. His areas of interest include machine learning, cognitive science, and human-computer interaction. He has received awards including the MITACS Globalink scholarship and research fellowships at IIT Delhi.
K. Venkataramana has over 8 years of experience working as an assistant and associate professor teaching computer science. He has a M.Tech in Computer Science and Engineering with over 10 publications in international journals. He is seeking an academic position where he can conduct research and teach students.
Video content analysis and retrieval system using video storytelling and inde...IJECEIAES
Videos are used often for communicating ideas, concepts, experience, and situations, because of the significant advances made in video communication technology. The social media platforms enhanced the video usage expeditiously. At, present, recognition of a video is done, using the metadata like video title, video descriptions, and video thumbnails. There are situations like video searcher requires only a video clip on a specific topic from a long video. This paper proposes a novel methodology for the analysis of video content and using video storytelling and indexing techniques for the retrieval of the intended video clip from a long duration video. Video storytelling technique is used for video content analysis and to produce a description of the video. The video description thus created is used for preparation of an index using wormhole algorithm, guarantying the search of a keyword of definite length L, within the minimum worst-case time. This video index can be used by video searching algorithm to retrieve the relevant part of the video by virtue of the frequency of the word in the keyword search of the video index. Instead of downloading and transferring a whole video, the user can download or transfer the specifically necessary video clip. The network constraints associated with the transfer of videos are considerably addressed.
The document provides information about an industrial training program in embedded technology offered by DKOP Labs Pvt. Ltd. The 6-month program will provide both theoretical and practical skills in areas like operating systems, shell scripting, microcontrollers, C programming, embedded systems, real-time operating systems, device drivers, and soft skills. The training is conducted in partnership with major EDA companies and aims to enhance students' employability in the semiconductor industry. The batch will commence in July 2011 with 48 seats and fees of Rs. 33,090. Benefits for students include hands-on experience, career opportunities, and infrastructure facilities like computers and a library.
The document contains Rishabh Dubey's resume, including his educational qualifications from Daisy Dales School and IIT Guwahati, work experience as a software development intern, projects involving compiler design, network systems, computer vision, and Android applications, technical skills in programming languages, databases and operating systems, and extracurricular activities involving sports and technology events.
IRJET-3D Object Tracking and Manipulation in Augmented RealityIRJET Journal
1. The document discusses developing a system using augmented reality to improve learning and understanding of concepts for consumers and workers through interactive 3D models.
2. It proposes using Unity and Vuforia to create AR applications that can detect printed images and display corresponding 3D objects. Users could then observe animations of products to understand their workings.
3. The system aims to make learning more effective by allowing visual and audio-visual observation of concepts, rather than relying solely on text, which takes advantage of human learning abilities.
Mrs. Saylee Sandeep Bidwai is applying for a position focusing on Network on Chip Architectures. She has over 10 years of teaching experience and holds a PhD in Electronics, M.E. in Electronics, and B.E. in Electronics. She has published papers in journals and conferences and conducted several workshops and training programs. Her expertise includes VLSI design, embedded systems, and digital signal processing.
Dr. Shashikant Sadistap is a Senior Principal Scientist at the Central Electronics Engineering Research Institute in Pilani, India. He has 27 years of experience developing embedded systems and real-time instrumentation for applications in water, aquaculture, power electronics, and agriculture. Some of his areas of expertise include intelligent instrumentation, embedded systems design, and soft computing for smart sensors and systems. He has successfully completed 16 major projects and transferred technologies to industries and government organizations.
IRJET- Hand Sign Recognition using Convolutional Neural NetworkIRJET Journal
1) The document presents a study on using a convolutional neural network (CNN) to recognize American Sign Language (ASL) alphabets captured in real-time via a webcam.
2) The researchers trained a CNN model on 1600 images of 5 ASL alphabets (E, F, I, L, V) and tested it on 320 unlabeled images, achieving a validation accuracy of 74.8%.
3) While the model showed potential, the researchers acknowledged limitations like overfitting due to the small dataset and noted areas for improvement like recognizing a broader range of ASL letters and full sentences.
This document provides a detailed bio-data of Prof. K. Deergha Rao including his educational background, teaching and research experience, publications, projects, awards and other professional details. Some key points:
- Prof. Rao received his B.E., M.E. and Ph.D. from institutions in India and conducted postdoctoral research at Concordia University, Canada.
- He has over 30 years of teaching experience and has guided over 25 M.E. students and 3 Ph.D. students.
- His research interests include wireless communications, signal processing and VLSI. He has over 100 publications in international and national journals and conferences.
- Prof. R
Ajay Singh is seeking a challenging position that allows him to continuously learn and develop his skills. He has a B.Tech in Electronics and Communication from MGM College of Engineering and Technology with 66.26% marks through 3rd year. He has skills in programming languages like Java, PHP, HTML, and C as well as operating systems like Windows and Linux. He completed an academic project involving a Raspberry Pi microcontroller interfacing with a camera and servo motor. Ajay is pursuing Huawei certification in telecommunications and has completed certification courses in Java and C programming. He received awards for winning a cricket tournament and participating in competitions involving Texas Instruments and cybersecurity.
6-wall CAVE Immersive 3D Visualization Laboratory DemonstratorJan Klimczak
This document is a master's thesis submitted by Jan Klimczak. It discusses developing applications to run in Cave Automatic Virtual Environments (CAVEs). It provides an overview of existing CAVE systems, including those at Gdansk University of Technology and Silesian University of Technology in Poland. It then describes the methodology for developing CAVE applications, including libraries, frameworks, and editors. Finally, it outlines a demonstration application developed by the author to run in the CAVE at Gdansk University of Technology.
This document contains the resume of Aditya Gupta. It outlines his education history including a current PhD in smart water systems at VNIT in Nagpur, India. It also lists his past masters and bachelors degrees as well as projects related to topics like biometric recognition, underwater robots, and more. His research interests and skills in areas like water leakage detection, optimization modeling, and hardware/software tools are mentioned. The resume concludes with his teaching experience and involvement in social organizations.
Artificial intelligence in cyber defenseDinesh More
This document discusses the use of artificial intelligence in cyber defense. It argues that AI is needed to rapidly analyze large amounts of data and react to the evolving threats in cyberspace, which humans cannot do alone without considerable automation. The document provides an overview of artificial intelligence as a field, and surveys existing AI applications in cyber defense that use techniques like artificial neural networks, expert systems, intelligent agents, search algorithms, machine learning, and data mining. It concludes that while useful AI applications already exist, many cyber defense problems could be better solved by incorporating more intelligent methods.
This document contains the resume of Vipul Nathani. It summarizes his contact information, career objective, skills, education, experience, projects, workshops/training programs, extracurricular activities and achievements. Nathani has a Bachelor's degree in Electronics and Communication engineering. He has experience as a trainee Android developer and has worked on several projects related to assistive technologies for differently abled people using technologies like Arduino, Raspberry Pi and Android app development. He has received recognition and awards for his projects and has participated in various technical competitions and events.
Aditya Pattnaik has 3 years of experience developing applications using Python, Flask, Django, and machine learning tools like Tensorflow. He currently works as a Senior System Engineer at Infosys where he builds an FAQ bot using scikit-learn, Tensorflow, Keras, Docker and other tools. Previously he created a dashboard for analyzing server performance and user sessions using Python, Django, and other technologies. He has skills in programming languages, APIs, databases, operating systems, and machine learning tools.
Alok Ranjan Bhoi is a Master in Computer Application graduate from Sambalpur University Institute of Information Technology seeking a career in machine learning. He has experience with projects involving face recognition using KNN, credit card fraud detection using logistic regression, and board game review prediction using linear regression. Additionally, he has completed online certifications in data science topics like Python, R, SQL, and machine learning and has experience with languages like C, Python, and R. His ultimate goal is to become a data scientist.
Jinank Jain has excellent academic qualifications, including being currently ranked 2nd in his department and 3rd in his institute. He has significant experience in computer science and related fields, including multiple internships and open source contributions. His technical skills include proficiency in C++, C, PHP, and experience with Java, Python, JavaScript, and databases. He has taken on positions of responsibility in student organizations at his institute.
The document discusses the Department of Computer Science and Engineering at Bharath Institute of Science and Technology. It provides information on the department's vision, mission, programs offered, faculty achievements and awards, student achievements, placements, MOUs with industries, and NBA accreditation process. The department aims to provide quality education and hands-on training to help students secure jobs in premier IT companies or pursue higher education and research. It has strong industry collaborations and many faculty with doctorates guiding research.
Alok Ranjan Bhoi is seeking a career in machine learning with strong skills in Python, R, and machine learning algorithms like KNN and Isolation Forest. He has a MCA from Sambalpur University with a 6.76 CGPA and has completed several projects involving face recognition, credit card fraud detection, and board game review prediction. His experience includes an Android app project and he has additional training in data science, MATLAB, cloud computing, and computer science topics.
Alok Ranjan Bhoi is seeking a career in machine learning and has relevant education and projects. He has an MCA from Sambalpur University Institute of Information Technology with a 6.76 CGPA and has completed multiple projects involving machine learning algorithms like KNN, logistic regression, and linear regression applied to problems like face recognition, credit card fraud detection, and board game review prediction. He has additional online certifications in data science topics from sources like IBM, DataCamp, and Coursera.
This document is a resume for Jinank Jain which summarizes their education and qualifications. It outlines their Bachelor of Technology degree from IIT Jodhpur with excellent grades, as well as internship experiences developing web browser security tools and finite element methods. Their technical skills include proficiency in C++, C, PHP and experience with Java, Python and JavaScript. They have contributed to open source projects, published papers, and held leadership roles related to programming and web development at IIT Jodhpur.
Kshitij Patil is a senior undergraduate student studying Computer Engineering at Pune Institute of Computer Technology. He has experience working on medical imaging and deep learning projects. His areas of focus include computer vision, deep learning frameworks like TensorFlow and PyTorch, programming languages like Python and Java, and deploying machine learning models on mobile and web platforms. He has participated in several hackathons and coding competitions, winning some of them.
This professional summary outlines the skills and experience of Hareesh Kumar P, including 2+ years of experience developing web and enterprise applications using Python and familiarity with agile methodologies. He has worked on several projects involving RESTful APIs, web applications, and databases like MongoDB and MySQL. His educational background includes an MCA from Amrita Vishwa Vidyapeetham and experience as a junior research fellow at DRDO and project associate at Amrita CREATE.
Piyush Tiwary is a 4th year undergraduate student studying Electrical Engineering at IIT Patna with a CGPA of 8.34/10. He has work experience developing backend systems using Spring and experience with research involving speaker diarization and sensor localization. His technical skills include Python, C++, Java, TensorFlow and PyTorch. He has mentored deep learning projects and leads the IIT Patna badminton team.
This document contains the resume of Anushree N. It summarizes her educational qualifications, technical skills, projects experience, independent courses, extracurricular activities, personal traits and details. She has a B.E. in Electronics and Communication from Dr. Ambedkar Institute of Technology with a CGPA of 9.22. Her technical skills include VLSI CMOS, VHDL, Verilog, microcontrollers, Android development and programming languages like C, C++, Java and .NET. She has worked on academic projects in GPS tracking and indoor navigation without GPS. She is hardworking, adaptable and a good team worker with interests in music, art and singing.
Zeeshan Yousaf has a BS in computer science from FAST NU with a GPA of 3.21. His projects include Network On Move, a Wi-Fi based communication solution for disaster situations, and Spy Plane, a handmade remote control plane. He has experience as a product manager and software architect and received several awards including Microsoft Imagine Cup regional winners. His skills include C/C++, Java, and .NET and he is interested in networking and security.
Prajwal provides a concise summary of his background and qualifications. He aims to use his skills and knowledge to deliver value and job satisfaction while achieving personal and organizational goals. He has a bachelor's degree in technology and specialized training in VLSI design and verification. His experience includes internships in mechatronics, satellite technology, and FPGA development. He has strong skills in Verilog, SystemVerilog, simulation tools, and microcontrollers. Prajwal has received awards for his innovative student projects and publications. He seeks to contribute as a team player with communication skills and leadership abilities.
This document contains a resume for Shubham Sidana seeking a position in the IT industry utilizing his 3 years of experience. He has worked as an RPA Developer and has certifications in Automation Anywhere, AWS Lex ChatBot development, and other technologies. He has also worked as an Assistant Professor teaching courses on software development, Android, Java, and data structures. His experience includes developing automation bots for employee onboarding, resume prioritization, and a Facebook chatbot.
Binoy Barman Shubha is a recent graduate with a B.Sc. in Information and Communication Technology from Mawlana Bhashani Science and Technology University in Bangladesh. He has experience as a research assistant and programming tutor. His research focuses on wireless sensor networks, the Internet of Things, 3D imaging, and biosensors. He has published papers in conferences and journals on topics like false alarm detection in wireless body sensor networks. Currently he is working as a research assistant under Dr. Sajjad Waheed on projects involving structural health monitoring using wireless sensor networks and emergency situation handling. He has strong skills in programming languages like C, C++, Java, and Python.
The document is a resume for Deepak Kumar Gautam. It summarizes his objective to gain a dynamic role in embedded computing and electronics. It outlines his work experience including as a technology evangelist and embedded technologies trainer. It also lists his qualifications including pursuing an M.Tech in embedded systems and B.Tech in electronics and communication. It details his projects covering areas like test case tools, nurse calling systems, and mobile controlled robots. It provides his skills and interests in areas such as programming, PCB design, and Linux. It highlights his activities and achievements which include organizing workshops and delivering seminars.
Prabhat Kumar is a software engineering graduate from Gandhi Institute Of Advanced Computer & Research in Rayagada, Orissa. He has strong skills in languages like C, C++, Java and web technologies such as HTML, ASP.NET and CSS. He has worked on projects involving mobile detection circuits, water pump controllers and an expenditure management tool. Prabhat has also received training in broadband and mobile communication from BSNL as well as experience in Android app development. He is looking for a challenging role to utilize his programming abilities and has consistently achieved academic excellence.
1. The document is a resume for Dr. Vishnu Monn Baskaran, a lecturer at Multimedia University in Malaysia.
2. It details his work experience including research projects on parallel computing and publications in indexed journals.
3. He has over 10 years of experience in areas like C/C++ development, parallel computing research using technologies like CUDA, OpenMP and MPI, and has managed multiple research grants and industrial collaborations.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
TIME DIVISION MULTIPLEXING TECHNIQUE FOR COMMUNICATION SYSTEMHODECEDSIET
Time Division Multiplexing (TDM) is a method of transmitting multiple signals over a single communication channel by dividing the signal into many segments, each having a very short duration of time. These time slots are then allocated to different data streams, allowing multiple signals to share the same transmission medium efficiently. TDM is widely used in telecommunications and data communication systems.
### How TDM Works
1. **Time Slots Allocation**: The core principle of TDM is to assign distinct time slots to each signal. During each time slot, the respective signal is transmitted, and then the process repeats cyclically. For example, if there are four signals to be transmitted, the TDM cycle will divide time into four slots, each assigned to one signal.
2. **Synchronization**: Synchronization is crucial in TDM systems to ensure that the signals are correctly aligned with their respective time slots. Both the transmitter and receiver must be synchronized to avoid any overlap or loss of data. This synchronization is typically maintained by a clock signal that ensures time slots are accurately aligned.
3. **Frame Structure**: TDM data is organized into frames, where each frame consists of a set of time slots. Each frame is repeated at regular intervals, ensuring continuous transmission of data streams. The frame structure helps in managing the data streams and maintaining the synchronization between the transmitter and receiver.
4. **Multiplexer and Demultiplexer**: At the transmitting end, a multiplexer combines multiple input signals into a single composite signal by assigning each signal to a specific time slot. At the receiving end, a demultiplexer separates the composite signal back into individual signals based on their respective time slots.
### Types of TDM
1. **Synchronous TDM**: In synchronous TDM, time slots are pre-assigned to each signal, regardless of whether the signal has data to transmit or not. This can lead to inefficiencies if some time slots remain empty due to the absence of data.
2. **Asynchronous TDM (or Statistical TDM)**: Asynchronous TDM addresses the inefficiencies of synchronous TDM by allocating time slots dynamically based on the presence of data. Time slots are assigned only when there is data to transmit, which optimizes the use of the communication channel.
### Applications of TDM
- **Telecommunications**: TDM is extensively used in telecommunication systems, such as in T1 and E1 lines, where multiple telephone calls are transmitted over a single line by assigning each call to a specific time slot.
- **Digital Audio and Video Broadcasting**: TDM is used in broadcasting systems to transmit multiple audio or video streams over a single channel, ensuring efficient use of bandwidth.
- **Computer Networks**: TDM is used in network protocols and systems to manage the transmission of data from multiple sources over a single network medium.
### Advantages of TDM
- **Efficient Use of Bandwidth**: TDM all
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
International Conference on NLP, Artificial Intelligence, Machine Learning an...gerogepatton
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTjpsjournal1
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
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scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
1. 1
VEDANT GHODKE
vedantghodke@gmail.com LinkedIn GitHub
Patent Application Number: 201921037397 A
Patent International Classification: A01K03/12 (‘Extraction of Bio-fuel from Milk and Milk Components’)
Patent Publication Date: October 25, 2019
Blog: THE OBSCURE (Informative blog based on factual citations)
About
Personable and astute engineering student (B.Tech in Electronics and Telecommunication Engineering) with proven
time management and collaboration skills developed by participation in several technical and non-technical activities
with a propitious record. Profound portfolio developed by gaining several academic accolades throughout. Possesses
keen interest in Data Science, Artificial Intelligence, Deep Learning, Neural Networks, Internet of Things and Robotics.
Educational Qualifications
Vishwakarma Institute of Technology, Pune, India July 2018 - July 2020
(B.Tech in Electronics and Telecommunication Engineering)
Current GPA: 9.47/10 (3rd semester)
Cumulative GPA: 9.49/10
Highlights
• Strong coding ability both in producing clean and efficient code as well as debugging and understanding large
code and data bases.
• Sound knowledge of multiple algorithms used for Data Sciences from various libraries in Python and proficient in
Machine Learning, Artificial Intelligence, Deep Learning, Neural Network skills for multiple types of applications.
• Experience in SAP Business One and S/4 HANA Enterprise Resource Planning (ERP) handling and back-end coding.
• Excellent knowledge of operating systems internals (toolchains) with analytical and problem solving skills.
Certifications
IBM:
1. Professional Data Science Engineer
2. Professional Machine Learning
3. Introduction to Professional Artificial Intelligence
4. Deep Learning Models using TensorFlow
Google:
1. Ultimate Professional Cloud Network Engineer
2. Professional Cloud Architect
3. Cloud Platform Fundamentals
Sr No Name of Institution Standard
Year of
Passing Board Percentage
1
Abhinava Vidyalaya English
Medium High School 10th June 2016
SSC Maharashtra
Board 92%
2 Ashok Vidyalaya and Junior College 12th June 2018
HSC Maharashtra
Board 82%
2. 2
4. Architecture of Big Data Solutions Using Google DataProc
5. TensorFlow 2.0 Using Keras AP
6. How Google Does Machine Learning?
7. Sequence Models for Time Series and Natural Language Processing on Google Cloud
8. Modern Natural Language Processing in Python
9. Machine Learning for Business and Enterprise Professionals
10. Flutter with Firebase
11. Digital Marketing on Digital Garage
12. Machine Learning MLFest - Beginner Track
Microsoft:
1. Microsoft Artificial Intelligence - Azure Technologies + AI 2020
Amazon Web Services:
1. AWS Certified Cloud Practitioner
Binghamton, State University of New York (SUNY), IBM Watson Technical School:
1. Design Thinking in Industry 4.0 by Prof. Dr. Micheal Testani
Udemy:
1. Artificial Intelligence Automation
2. Artificial Intelligence in Industry 4.0
3. Machine Learning And Deep Learning
4. Python For Machine Learning And Data Science Bootcamp
5. Python Network Programming For Network Engineers
6. Support Vector Machine In Python
7. Neural Networks In R Studio Using Keras And TensorFlow
8. Professional Problem Solving In Python
9. Web Development Bootcamp
10. Cyber Security
11. R Programming
12. Deep Reinforcement Learning (Hands-On AI)
13. Download Manager Using Python And PyQT5
14. Ethical Hacking
15. Java Programming (Basics)
16. Java Server Pages Programming
17. JavaScript - Build Real Projects
18. JavaScript Programming
19. Lambda With Functional Programming In Java8
20. Environmental Sciences
Software Skills
Programming Languages :
Procedural language : C Programming
Object Oriented Programming : C++ Programming, Python 3.0
Virtual Machine based Programming : Arduino Coding
Scripting language : JavaScript, Node.js, PHP, MATLAB, CSS, HTML, XML
Python Libraries: NumPy, SciPy, PyTorch, Theano, Keras, Scikit-Learn, TensorFlow 2.0, Pandas, NLTK, OpenCV
Web Technologies: HTML/HTML5, CSS2/CSS3, XML, XHTML, XSLT, AJAX, JavaScript (ReactJS + Node.js)
IDE & Tools: IBM Watson Cloud, Google Cloud, Google QwikLabs, Microsoft Azure Cloud Technologies for AI, AWS
Snowball, MS Visual Studio Code, MS Visual Studio, Sublime, PyCharm, Anaconda Package, Spyder, Jupyter Notebook,
Notepad ++, Simple Code Blocks, Adobe Spark, SAP Business One and SAP S/4 HANA
Operating Systems: Windows NT, Linux Distributions, iOS
3. 3
Testing techniques: UnitTesting, Integration Testing, Interface Testing, Regression Testing, Beta Testing
Testing Methodologies: Agile, Waterfall
Other Skills: MS Office, Corel Draw, Adobe DreamWeaver, Adobe Photoshop, R Statistical Project, MATLAB and
Simulink, NI MultiSim Suite, Proteus Professional Designing, Eagle Designing
Key Capstone Projects and Data-sets Handled
Project Name : Naval Mine Detector1
Technology: Deep Learning with Neural Networks using Scikit-Learn library of Python 3.0
Mentor: Piyush Manohar Khairnar Marvellous Infosystems
Description:
• Detection and classification of underwater objects in sonar imagery is a complicated problem, due to various factors
such as variations in operating and environmental conditions, presence of spatially varying clutters, variations in
target shapes, compositions and orientation.
• By application of the concept of Deep learning with Neural Networks, Naval Mines can be predicted very well.
Project Name : Periodic Process Logger with Auto Scheduled Log Report Plugin1
Technology: Selenium, ChromeDriver with NumPy and Pandas library of Python 3.0
Mentor: Piyush Manohar Khairnar Marvellous Infosystems
Description:
• This is a python project in which a log file is created with the current time and information about all running
processes as its name, PID, memory usage, thread count number of child process is stored.
• The automation script executes periodically depending on the interval specified by the user using scheduler of
python.
• After periodic execution it sends the log file with concerned status to the specified email address.
Project Name: Unmanned Robotic Vehicle for Landmine and Gas Detection1
Jan 2020 - May 2020
Mentor: Prof. Dr. Pooja Kulkarni Assistant Professor, VIT, Pune
Successfully developed a ZigBee module and Node MCU based unmanned robotic vehicle for landmine detection and
gas detection technology with real time optimization.
Project Name/Patent Title: Extraction of Bio-fuel from Milk2
Oct 2019
Mentor(s): Prof. Vivek Nagnath, Prof. Kalpesh Joshi Assistant Professors, VIT, Pune
Successfully extracted clean bio-fuel from milk and milk fats. Patent successfully published under Indian Judiciary with
international classification A01K03/12
Project Name: Autonomous Fire Fighting Robot1
Jun 2019 - Dec 2019
Mentor: Prof. Dr. Milind Kamble Academic Head and Faculty Professor, ENTC Dept, VIT, Pune
Successfully developed a multiple sensor based autonomous fire fighting robot under PMC development projects
using Arduino MEGA and relevant sensors.
Project Name: Autonomous Crab Robot1
Jan 2019 - Feb 2019
Mentor: Prof. Dr. Harshavardhan Khare Assistant Professor and Research Faculty, VIT, Pune
Designed and developed a working model of an application controlled robot involving development of a personalised
application using MIT Companion involving Arduino UNO coding under the VIT-TRF drive.
Project Name: Speed Governor and Accident Prevention System for Vehicles1
Jun 2018 - Dec 2018
Mentor: Prof. Dr. Sachin Sawant Assistant Research Head, VIT, Pune
Successfully developed a Speed Governor and Accident Prevention System for Vehicles using RFID Technology and
GSM and GPS modules, PIR Sensors respectively.
1
Available on viable request
2
All patent copyrights reserved by Vedant Ghodke
4. 4
Academic Achievements
2019: Successfully published a patent under Indian Judiciary for “Extraction of Bio-fuel from Milk and Milk
Components”
2018: HSC college topper for highest marks secured in Computer Science (vocational) subject
2015: Obtained scholarship and secured 4th
rank at district level in “MaharashtraTalent Search” (MTS) Exam
2013: Attained State Level scholarship in Higher Secondary
2013: Selected as the only student to represent High School for DNA Science Conference held at IISc, Bengaluru
2012: Succeeded in 1st
level of national “Homi Bhabha Science Competition” Exam
2011: Obtained scholarship at state level in Mathex 1st
level (Pravinya) and 2nd
level (Pradnya)
2010: Secured silver medal at National level and 16th
rank at International level in IOELExam (International
Olympiad for English Language) conducted by SilverZone Foundation, New Delhi
Extra-Curricular Achievements
Secured “Best Delegate” and “Best Delegation” award in United Nations Security Council (UNSC) crisis
committee at Panacea Model United Nations (MUN), 2019 organized by MIT-WPU, Pune.
Secured the 2nd place for “Voice of VIT” competition in Vishwakarandak 2019
Secured the 1st runner-up award for “Mr. Fresher 2018-19” in Vishwakarma Institute of Technology, Pune
Secured the 2nd place for “Hard Talk” segment in the Melange Fest held at Vishwakarma Institute of Technology,
Pune
Selected as the only student from college in poetry recitation at the Cultural Session organized by Pune
Municipal Corporation
Obtained silver medal at international level in “Global Cultural Olympiad” in vocal music at National University of
Singapore (NUS) organized by Akhil Bharatiya Sanskritik Sangha (ABSS), an Indian National Government body.
Internship Experiences
Academic Year 2018-19
Winter Internship: Dec 26, 2018 to Jan 6, 2019 (12 days)
Organization: Persistent Systems Ltd., Pune
Mentor and Supervisor: Mr. Atul Shenoy
Tasks Handled: Development of an application for intra-facility bus/shuttle booking with Agile methodology
Summer Internship: May 20, 2019 to July 04, 2019 (45 days)
Organization: SAP Business One and Hewlett-Packard Alliance, Pune
Mentors: Ms. Richa Tibrewal, Ms. Snehal Bagadiya
Supervisor: Mr. Kunj Tibrewal
Tasks Handled: Development of a Python 3.0 based application for SAP Business One and SAP S/4 HANA ERP
softwares as a WhatsApp and Email blaster plugin to be integrated with live customer base.
Active Memberships
The Google Developers’ Students Club (DSC), VIT Pune
The Google Summer of Code Prospective and Applicants’ Club, India (Prof. Dr.Vijay Barve)
The Google Code In Prospective Club, India (Prof. Dr.Vijay Barve)
The Google Hash Code Prospective Club, India (Prof. Dr.Vijay Barve)
International Electrical and Electronics Engineer Club (IEEE), London, United Kingdom
The Career Research and Development Forum (CRDF), Purdue University, USA (Prof. Milind Patwardhan)
Vishwakarma Institute of Technology – The Robotics Forum (VIT-TRF) (Prof. Dr. Harshavardhan Khare)
Akhil Bharatiya Sanskritik Sangha (ABSS)