Work that I’ve done for the past 3 years
Part of a 22 member contingent to FSUK '22 from India
As the tech lead for the software subsystem, I had an opportunity to represent India alongside our skilled contingent. With a focus on the car's ECU, CAN, and DAQ, we had a successful Engineering design event at UK.
Oracle RedBull Racing X IIT Bombay Racing
As a Lead Event Strategist for Oracle RedBull Racing X IIT Bombay Racing, successfully orchestrated a large-scale event with 3000+ attendees, which featured 18 RedBull Racing Engineers visiting our lab, an insightful engineering session led by one of the engineers, and the grand unveiling and demonstration of the RedBull RB7 race car.
Cartography using Deep Learning
In this project, I explored neural architectures like CNNs, GANs, and DCGANs. With deep learning as my compass, I navigated from MNIST dataset digit classification to transforming satellite images into conventional maps, which could be a thing for AI-driven cartography.
Building NoteAI - A completely automated notes provider
At NoteAI, we crafted a fully automated solution to support IIT Bombay students during endsem preparations with timely and helpful AI generated notes. It currently has achieved a favorable unit economics milestone, reflecting a sustainable and profitable model.
Implementation of Spanning Tree protocol and Wireshark
In this dive into computer networks, I built a Python-based simulation of the spanning tree protocol, classifying network ports while unraveling the algorithm's intricacies. Meanwhile, I navigated the world of TCP with Wireshark, examining data packets during file uploads and video calls.
Car Performance Insights: A Data-Driven Approach
I developed a comprehensive Data Acquisition terminal using MATLAB for IIT Bombay Racing. With the ability to load and process MDF files, visualize sensor data, and store plots, the terminal can prove to be a valuable tool for post-run analysis and fine-tuning our car's performance