I am an NLP researcher at heart, deeply interested in how language models understand, reason, and scale. My current focus areas include:

  • Improving reasoning in LLMs using reinforcement learning
  • World models
  • Mechanistic interpretability
  • Continual learning
  • Long-context LLMs
  • Inference-time scaling laws

Alongside my work in NLP, I also have a background in the core concepts of Bitcoin and blockchain and I have built smart contracts using Solidity. (Currently not actively working on blockchain projects.)

I design quantitative trading algorithms combining pure mathematics, Econophysics concepts, probability, and signal-driven insights to model market behavior rather than rely on heuristics.

I enjoy breaking down complex topics into simple, intuitive concepts and understanding architectures from first principles.