Hitesh Laware has an MS in Computer Engineering from Boston University and a Bachelor's degree in Instrumentation from Mumbai University. He has work experience as a Software Engineer at Charles River Development and an internship at Monster Worldwide. Some of his projects include developing an automated release notes plugin, creating a smart car that collects sensor data and controls the car remotely, and building a video conferencing Android app. Hitesh has skills in languages like Java, C#, Python, and C++ as well as frameworks like HTML, CSS, JavaScript, and Flask.
CV Omar Hicham, seeking a PhD in distributed algorithms and systems or a challenging opportunity in software engineering of distributed and large scale systems and big data.
A Decentralized Reference Architecture for Cloud-native Applications V2.0Asanka Abeysinghe
The number of microservices running in enterprises increases daily. As a result, service composition, governance, security, and observability are becoming a challenge to implement and incorporate. A “cell-based” architecture is an approach that can be applied to current or desired development and technologies to address these issues. This technology-neutral approach helps cloud-native dev teams become more efficient, act in a more self-organized manner, and speed overall release times.
In this talk, Asanka will introduce the "cell-based" architecture, which is decentralized, API-centric, cloud-native, and microservices friendly. He will explain the role of APIs in the cell-based approach, as well as examine how real applications are built as cells. Asanka will explore the metrics and approaches that can be used to measure the effectiveness of the architecture and explore how organizations can implement the cell approach.
Hey, I'm Varun Sirpal, a sophomore at Delhi Technological University(erstwhile DCE). I'm looking for a winter internship in data science and machine learning. I'm comfortable with both in-office and work-from-home internships.
As part of the IBM PartyCloud 2018 in Milan, the talk "A Journey into Data Science & AI" will present a case study about estimating Panelists Latent Affinities. I will show the components to develop an intelligent social agent able to classify entities and estimate latent affinities. The session will also cover good practices and common challenges faced by R&D organizations dealing with Machine Learning products.
I am a computer engineering student at USC excited in the advancements of AI in everyday life. I am primarily interested in the applications of machine learning to robotics in the field of automation and communication between humans and robots.
MLSEV Virtual. ML Platformization and AutoML in the EnterpriseBigML, Inc
Machine Learning Platformization and AutoML in the Enterprise, by Ed Fernández, Board Director at Arowana International.
This presentation focuses on the adoption of Machine Learning platforms and AutoML in the Enterprise, the challenges around DevOps and MLOps, latest market trends, future evolution and the impact of AutoML for rapid prototyping of Machine Learning models.
*MLSEV 2020: Virtual Conference.
Automation Anywhere Control Room | Control Room Administration Tutorial | Edu...Edureka!
YouTube Link: https://youtu.be/m7r2TRT2ESc
** RPA Training: https://www.edureka.co/automation-anywhere-certification-training **
This session on Automation Anywhere Control Room will cover the following topics:
Introduction To Control Room
Control Room Components
Upload A Bot
RPA Playlist: https://bit.ly/2B53HLe
RPA Blog Series: https://bit.ly/2Ay1bzG
Follow us to never miss an update in the future.
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CV Omar Hicham, seeking a PhD in distributed algorithms and systems or a challenging opportunity in software engineering of distributed and large scale systems and big data.
A Decentralized Reference Architecture for Cloud-native Applications V2.0Asanka Abeysinghe
The number of microservices running in enterprises increases daily. As a result, service composition, governance, security, and observability are becoming a challenge to implement and incorporate. A “cell-based” architecture is an approach that can be applied to current or desired development and technologies to address these issues. This technology-neutral approach helps cloud-native dev teams become more efficient, act in a more self-organized manner, and speed overall release times.
In this talk, Asanka will introduce the "cell-based" architecture, which is decentralized, API-centric, cloud-native, and microservices friendly. He will explain the role of APIs in the cell-based approach, as well as examine how real applications are built as cells. Asanka will explore the metrics and approaches that can be used to measure the effectiveness of the architecture and explore how organizations can implement the cell approach.
Hey, I'm Varun Sirpal, a sophomore at Delhi Technological University(erstwhile DCE). I'm looking for a winter internship in data science and machine learning. I'm comfortable with both in-office and work-from-home internships.
As part of the IBM PartyCloud 2018 in Milan, the talk "A Journey into Data Science & AI" will present a case study about estimating Panelists Latent Affinities. I will show the components to develop an intelligent social agent able to classify entities and estimate latent affinities. The session will also cover good practices and common challenges faced by R&D organizations dealing with Machine Learning products.
I am a computer engineering student at USC excited in the advancements of AI in everyday life. I am primarily interested in the applications of machine learning to robotics in the field of automation and communication between humans and robots.
MLSEV Virtual. ML Platformization and AutoML in the EnterpriseBigML, Inc
Machine Learning Platformization and AutoML in the Enterprise, by Ed Fernández, Board Director at Arowana International.
This presentation focuses on the adoption of Machine Learning platforms and AutoML in the Enterprise, the challenges around DevOps and MLOps, latest market trends, future evolution and the impact of AutoML for rapid prototyping of Machine Learning models.
*MLSEV 2020: Virtual Conference.
Automation Anywhere Control Room | Control Room Administration Tutorial | Edu...Edureka!
YouTube Link: https://youtu.be/m7r2TRT2ESc
** RPA Training: https://www.edureka.co/automation-anywhere-certification-training **
This session on Automation Anywhere Control Room will cover the following topics:
Introduction To Control Room
Control Room Components
Upload A Bot
RPA Playlist: https://bit.ly/2B53HLe
RPA Blog Series: https://bit.ly/2Ay1bzG
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Castbox: https://castbox.fm/networks/505?country=in
Actively looking for full time position as a Software Engineering role. I have experience with Java, Javascript, HTML/CSS, REST web services, AWS cloud and mobile application development.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
1. LinkedIn hnlaware@bu.edu
Github Hitesh Laware 8572944826
EDUCATION
MS, Computer Engineering GPA-3.73
Boston University (2015-17)
Bachelor of Engineering, Instrumentation GPA-3.5
Mumbai University (2011-15)
MAJOR COURSES
Advance Data Structures & Algorithms, Cloud Computing, Web Development, Internet of Things, Android Software
Development, Microprocessors & Microcontrollers, Computer Programming (Java & C++), Embedded System in
Instrumentation.
WORK EXPERIENCE
Software Engineer, Charles River Development (Jun – Sept 2014)
Developed, designed and tested various order and allocation related features.
Performed code enhancements and bug fixes on an extremely low latency client and server-side application.
Responsible for the design and development of critical features such as Send to Trading Parallel and Final
Allocation Report functionalities.
Intern, Monster Worldwide (May – Aug 2016)
Worked as Software Engineer intern and developed an App for Tracking Job Ad Transactions by using Restful
API. Project involved using Http Client class to make get, post, patch and put request that modifies Db.
Developed another App that extracts Jobs from Monster Aws instances and uses Aws CloudWatch package to
extract its data points and processes them. These data points were later fetched to a metrics in CloudWatch for
better auto-scaling in Aws.
PROJECTS
Automated Release Notes (https://github.com/BU-NU-CLOUD-SP16/Automated-Release-Notes - video) (Jan - May 2016)
Worked for a Maine based Software company to develop a Java plug-in as a product for that company.
The Java plug-in was integrated with Jet brains continuous integration tool and Visual Studio to generate and
email release notes to user with build and commit details.
This is an 'Open Source' project mentored by engineers from Mingle Analytics.
Smart Car (https://github.com/estherlu/EC544_Group4) (Aug-Dec 2015)
Collected variety of physical data and represented them on a PC using a server.
Calibrated various sensors and integrated them with Arduino and Raspberry pi 2.
Created a website that controlled car, displayed its current location and gave live stream using webcam and pi.
Processed the collected data and took real time corrective actions through the crawler accordingly.
Jitsi Android App (Aug -Dec 2015)
Studied Android App development and created an App for Video Conferencing.
Created BU-Service that used Web-RTC to make video bridge and MySQL to store user data.
AWS was used to host video bridge (ec2), database (s3) and implement elastic IP.
High Precision Localization of Smart Cars (2015-16)
Developed a localization system which creates a 3D environment around each vehicle, integrates the process data
with existing maps.
Aids in vehicular communication with real time data processing for Smart and Autonomous cars in a Smart City.
Object Identification and Sorting using PLC (2014-15)
Studied various Industrial sensors used to identify different types of objects.
Developed a PLC application to sort objects as per user choice.
SKILLS
Programming Languages Java, C#, python, C++, SQL
Web Development & Frameworks HTML, CSS, JavaScript, jQuery, node.js, Flask(python)
Tools & Technologies .NET, MySQL, REST APIs, JSON, Eclipse, Visual Studio, Android Studio
ACCOMPLISHMENTS
Taught an Internet of Things course in Boston University under Prof Thomas Little.
Awarded the best R&D project of the year by University of Mumbai.
Chairperson of IEEE-Vesit.
