About
The engineer behind the stack
Veda samhith
AI Engineering & Research
I am an Aerospace Engineering undergraduate at IIT Kharagpur transitioning into AI Engineering and Research. I believe the best way to understand complex systems is to build them from first principles. Over the past year, I have systematically reconstructed the entire modern LLM stack through 34 engineering projects— from tokenization to complete end-to-end systems. This journey has given me deep, end-to-end understanding of how language models work, where they break, and how to optimize them. I am particularly interested in efficient inference, long-context systems, and making AI more interpretable and safe.
Technical Stack
Engineering Philosophy
Build to Understand
I believe the deepest understanding comes from implementation. Every project in this portfolio was built from scratch, not assembled from existing libraries.
Systems Thinking
LLMs are not isolated algorithms—they are complex systems. Understanding the interactions between data, training, inference, and serving is essential.
Research Mindset
Every implementation is an experiment. I document hypotheses, measure results, and iterate based on evidence rather than intuition.
End-to-End Ownership
From data curation to model serving, I take ownership of the entire pipeline. This ensures deep understanding of every component and their interactions.