Two engines. No dead time.
A custom on-device speech model with automatic Apple Speech failover while the resumable, SHA-256-verified model downloads.
CS @ BITS Pilani · Builder · Researcher

I turn half-serious “what ifs” into real software — usually with AI, occasionally with robots, and always with too many browser tabs.
Scroll to inspectI don't collect titles.
I collect hard problems.
First-year Computer Science student at BITS Pilani. Started building Python games in grade six, hit 1900 on Codeforces at fourteen, then wandered into machine learning, product, systems, and native macOS engineering.
The thread through all of it: learn fast, ship the thing, then make the ugly edge cases behave.
PRIVATE. LOCAL. ACTUALLY USEFUL.
Hold Control. Speak. Release. Polished text appears wherever your cursor is — with no account, no server, and no audio uploads.
“make this sound less like it was written at 3am”
Make this clearer, sharper, and ready to publish.
HOLD TO TALK
A custom on-device speech model with automatic Apple Speech failover while the resumable, SHA-256-verified model downloads.
A diff-based validation layer rejects rewrites or translations that lose names, numbers, or meaning. Fidelity wins over flair.
Post, chat, email, and general modes; per-app rules; local history; meetings; and context-aware cleanup — wrapped in a native macOS menu-bar app.
“this whole post was written using AirScribe.”
Products, models, agents, and robots. Different surfaces. Same urge to make the idea real.
CONSUMER AI / SHIPPED
A gift recommendation product powered by Gemini — validated by people who actually paid for it.
REINFORCEMENT LEARNING
Behavioral cloning from expert games, then reinforcement learning until random agents stopped being interesting.
MARKET DATA / MACHINE LEARNING
Built a prediction pipeline for an anonymized market variable and climbed near the top of a very crowded leaderboard.
COMPUTER VISION / EDGE AI
Fine-tuned three generations of YOLO on the IP102 benchmark, then exported to ONNX for cross-platform deployment.
Machine Learning Research Assistant
Pricing research, web-scale data pipelines, BERT and modern embedding models running on H100 GPUs.
Founding member · SystemML
Tinygrad, vLLM, AMD ROCm, smaller Docker images, and the stubborn problem of laptop-cluster inference.
AI Researcher
Gaze and head-pose models for ADHD screening; hyper-realistic shadow generation; TFLite and ONNX optimization.
Robotics & AI Engineer
Built and trained in-house robots, shipped edge vision models, and helped run RoboWars.
Also: JEE Advanced AIR 2803, IOQM qualified, Aryabhata Ganit Challenge winner, STSE rank 2.
THE TOOLBOX, CURRENTLY