Taaha Khan

Hi, I'm Taaha!

I'm a Computer Science student at Purdue University with a strong interest in artificial intelligence and research-driven problem solving. My work spans areas such as large language models (LLMs), retrieval-augmented generation (RAG), compression, image processing, and game AI. I'm particularly interested about exploring tree search algorithms, information retrieval, and deep learning techniques to build efficient, intelligent systems.

You can contact me at taahajkhan [at] gmail [dot] com

website, github, linkedin, kaggle, google scholar

Projects

Building DeepQuery with Captain (YC F25), ML@Purdue

Enhanced LLM Reasoning with MCTS

CompaCT Image Compression

Research

Oregon Health and Science University, Casey Eye Institute, Dept. of Ophthalmology

NASA, UT Austin Center for Space Research, Cockrell School of Engineering

Vital Signals Health

Kaggle

4th Place — Rock Paper Scissors Agent Competition

[writeup] [competition] [github]

9th Place — Hungry Geese Agent Competition

[writeup] [competition] [github]

1st Place — Connect X Agent Competition

[writeup] [competition]

Interests

AI, LLM, RAG, RL, DL, ROI, more acronyms...