About

Prasenjeet Paul is a highly skilled Software Development Engineer (SDE) Intern at Toyota Racing Development USA, with over 3 years of experience in Frontend Engineering. He has worked with various frameworks like React, Angular, and has extensive knowledge of UI design libraries such as Bootstrap and Material CSS. He is also well-versed in backend development using Spring Boot, JSP, and other frameworks. Prasenjeet is a competitive programmer with strong knowledge in Data Structures and Algorithms, making him an excellent problem solver. He is also a supportive teacher/mentor, having worked as a Teaching Assistant at the University of North Carolina, where he assisted in teaching and grading assignments/tests, helping students with course-related doubts and queries. Prasenjeet has a Master of Science degree in Computer Science from the University of North Carolina at Charlotte, where he worked as a Research Assistant. He developed a data analysis tool to process time series race data of Toyota Racing Development and designed an efficient database model to store parsed time series data initially of size 4GB per row/race. He is also developing a python library that filters, pre-processes, and parses data using user-provided constraints. He used D3.js to create analysis charts generated over the JSON data passed by various REST API clients. Prasenjeet's TechStack includes Software Engineering, Frontend and Backend Development, Javascript, Spring Boot, Spring, AngularJS, Research Scientist, Python, and UI design. He has relevant experience of 4.36 years, having worked previously with Google, Mastercard, and EPAM. Prasenjeet is a highly motivated and dedicated individual who strives to achieve excellence in his work.