Skipped the engineering/medicine track — studied maths because I actually liked it.
I picked maths out of genuine interest, not the default engineering-or-medicine route. Two years of academic scholarship, consistently among the top of the batch — missed the gold medal by a single spot.
Four of us against ~100 senior engineering teams. We won ~90% of the events.
At the Jet Sigma symposium (St. Joseph's College, ~2022–23), a team of four maths students went up against roughly a hundred engineering teams — more senior, more experienced — across a mix of events, and came out winning about 90% of them.
Learned ML by building game-playing AIs instead of the usual tutorials.
I wanted to learn ML but skipped the clichéd starter projects — games were eye-catching enough to make me actually want to understand what was happening. Built a Flappy Bird agent with reinforcement learning, and a self-driving car (Trackmania-style) with Proximal Policy Optimization.
Pioneered a computer-vision system to track judo players — my first real applied AI.
A final-year sports-science internship at IIT Madras (with the Inspire Institute of Sport, Bellary). Coaches wanted to measure how long players spent in contact during throws, on a mat split into a grid of quadrants, each individually focusable from a coach's tablet. I was the first person assigned to it — built the initial infrastructure from zero, learned camera hardware from old low-level docs and computer vision from scratch, and left a foundation for the team to carry forward.