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AI research/engineering.

I love building useful software, especially when it pushes the current assumptions of what we can do with a computer.

Currently focusing on

AI research: various LM transformer model experiments ranging from pre-training, post-training and prompt engineering. AI applications: Working on open source coding agents like openai/codex, anomalyco/opencode etc

a la carte projects:

Project What it does
notetaker multi-agent system that converts MP4 video lectures into comprehensive lossless markdown documents
[deep learning experiments] scattered all over my github and google drive because of collab :-)
Cipher-Cracking Decrypts classical ciphers using cryptanalysis techniques
Upper-body-detection My intro to ML/Computer Vision: Haar Cascade Classifier for detecting body parts. (reflection after 3 years: Deep learning is better

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