2023 - 2024
I conducted
research in the field of computer vision and it was focused on integration of state-of-the-art computer vision algorithms with path planning to develop a system for autonomous vehicle, presented paper in DJ-ICACTA-23 and published it in IEEExplore journal.
Also at VCET-Solecthon we won ESVC3000+, SEVC2023 championships.
2022 - 2023
I was Perception (Computer Vision) lead at VCET-Solecthon, focused on building robust perception mechanism where objective was to drive a car on road (or any drivable space) without the need of explicit lane markings. Researched and worked on many computer vision tasks including in-house data labelling, improving object detection, dataset curation, lane detection, semantic segmentation, SLAM, etc.
Won SEVC2022 championship and also secured second rank at OpenCV-Core competition
Simultaneously, I took CS50AI course by Harvard University, worked on many projects on AI domain. Explored DL and CNN via course by Andrew Ng.
2021 - 2022
Took CS50X by Harvard University, worked on many projects throughout the course and built and deployed
Dronacharya webapp.
Along the way I joined an autonomous-solar-electric vehicle team at college named VCET-Solecthon as autonomus member, at that time objective was to drive a car in constrained environment.
Also worked in aeronautics & aerospace team Airnova as R&D member on drone building and gesture controlled interface for it.
2020 - 2021
Admission in BTech at the University of Mumbai, Vidyavardhini's college of engineering and technology with a major in computer science and a honours in artificial intelligence and machine learning.
Explored the computer science domain and took various courses on web dev. This is where I first got intoduced to deep learning by my brother.
