RESUME

1. KISHOR KUMAR
9636708390 • sutharkishor82@gmail.com • linkedin.com/in/kishor-kumar-a69946226/ • github.com/Kk12suthar
SUMMARY
Enthusiastic computer science engineering student with developed problem solving skills and hands on experience in
web development in forms of projects.Super interested in upcoming Era of WEB3 and AI
EDUCATION
B.Tech., Computer Science and Engineering Graduation May 2023
Parul University(NAAC A++) 7.43 CGPA
Parul institute of engineering and technology
Relevant coursework: Artificial intelligence and its application , Software development , System Design and Database
management
12th BOARD (HSC) Graduation May 2018
Rajasthan Board of Secondary Education 84.00 Percentage
Arvind Public SR SEC School
Relevant coursework: Physics, Mathematics, Chemistry, English.
SKILLS
Web development: HTML5, CSS3, Javascript, ReactJS,Flask
Programming Languages: Python, Java (oops)
Problem Solving: Data Structure and Algorithms , System Design
Database Management: SQL,MySQL,Oracle
Familiar Technologies: Machine learning Algorithms , Neural Networks , Pytorch , OpenCV,Docker ,Git and Github
ACADEMIC PROJECTS
Person tracking System (Social distancing Guidelines implemented) |SOURCE CODE| Sep 2022 – Jan 2023
Collaborated in a team of three to design model of a OpenCV based Flask (Python) Webapp which detects and apply
social distancing protocols on live objects
• Developed team schedule, including quality measurement for each major milestone
• The script utilizes functions and classes from the OpenCV library to perform tasks such as reading video files,
applying image processing techniques, performing object detection using pre-trained models, drawing bounding
boxes, and displaying the processed frames.
• Used the Open source Object detection Model YOLO and trained it on Custom dataset as well as COCO dataset
and achieved 85 Percent accuracy from Before on Local server with CPU time Without GPU.
Real time Object detection Feb 2022
Led team of three in a hackathon of 2 days to develop the object detection system.
• Open Source Object detection model YOLOv5 Analyazing , Evaluation and deployement to a Flask app(Python)
• Successfully implemented Flask app with 92 percent of accuracy on local computer with CPU time.
CERTIFICATES
Python Crash course from GOOGLE, Coursera Dec 2021 – Jan 2022
Mathematics for Machine Learning: Linear Algebra, Coursera Apr 2021 – Jul 2021
Fundamentals of Information Security, Infosys Springboard Jan 2023 – Apr 2023
Software Engineering Virtual Experience Program, Goldman Sachs June 2023
Software Engineering Virtual Experience, JP Morgan Chase Co. July 2023
ACHIEVEMENTS AND HOBBIES
Strong Mathematical Background ,
Cleared Jee Main with 91 Percentile in First attempt,
Led and Participated in Many Tech events in College and High school,
Love to Do things :Astronomical studies, books, Self Improvements and Cricket .