What I'm Doing Now
Right now, I am actively interviewing for engineering roles while expanding the scale of my existing infrastructure and diving deeper into quantitative finance and agentic AI frameworks.
1. Quantum Monte Carlo on NIFTY Options
Moving beyond standard Black-Scholes option pricing. Currently researching and implementing Quantum Monte Carlo simulations to model complex derivative pricing on NIFTY option data, optimizing for computational speed over massive probability distributions.
2. Judgement Day v3 - Agentic Scaling
Judgement Day currently handles 100+ documents concurrently. Re-architecting the backend to handle 1000+ files by implementing RAG (Retrieval-Augmented Generation) and agentic routing, so the AI can autonomously navigate the document lake rather than processing files in isolated vacuums.
3. Blue-Intel - Deep Learning Extrapolation
The Blue-Intel S3 data lake is constrained by physical Argo float paths. Addressing spatial skewness by experimenting with deep learning models to interpolate missing grid data and extrapolate oceanic metrics into unmapped regions.
4. AIMO - AI Math Olympiad
Running open-weight LLM models on H100 GPUs to solve difficult math problems, using prompt engineering, concurrent agent orchestration, and TIR (Tool Integrated Reasoning).