Talal Muzaffar

Hey! I'm Talal, a machine learning engineer working on document AI, retrieval, and agentic systems.

ml lead at DOST AI

architected RAG @ 3.8M docs Entity Extraction · 40K docs/mo Vendor Schema Mapper

built with PyTorch LangChain Azure FastAPI

studied at FAST National University · Data Science Dean's List ’24–’25

I work in the parts of AI that don't make headlines — turning document chaos into queryable systems. Retrieval pipelines, entity extraction, agents that know their limits. Full projects list here.

I fine-tune when curious: the Falcon-7B experiment hit 0.90 BERT on MICCAI using 4-bit QLoRA on a single T4. Outside of that, I follow open-source closely and try to ship something every month.

I co-authored Choices for Measuring Cognitive Function Digitally in LMICs at the American Epilepsy Society, and was selected for McKinsey Forward and Harvard's Crossroads.

Find me on

GitHub LinkedIn Résumé (PDF)

Or mail me at talalmuzaffar3@gmail.com