I'm a 15-year-old from India teaching myself machine learning from the ground up. My method is simple: learn a concept, implement it in a project — and let that project reveal the next thing worth learning.
I build with AI as my partner: I learn from the results. Projects aren't a distraction from the study plan — they are the plan.
When I'm not building, I'm studying or on court.
Never get stuck in the course loop — at some point you have to build.
A reinforcement-learning agent that taught itself a number-guessing game — plus the playable web game, deployed to the world. Trained the model, built the frontend, shipped it. End to end.
A study companion for any student: track your full syllabus against exam dates, digitize handwritten notes with AI, and see it all as a knowledge graph. Currently in the making.
Consistency beats intensity — show up daily.
Footwork, patience, and long rallies — the physical counterweight to hours of building.
🎾Strategy over 64 squares. It's no coincidence the dream project is an RL chess engine.
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