> ls ~/projects
Seven projects across machine learning, computer vision, data engineering, agentic AI, quantitative finance and NLP. Each one is a thing I built and broke and learned from — open any card for the full case study.
ML · Real-time Vision · Affect Systems · 2026
An affect-aware music system built around a four-pipeline architecture — emotion detection, state control, queue management, and Spotify integration — engineered to stay stable under the noise of real-world webcam input.
Deep Learning · Quant Finance · 2025
Gaussian-process and neural-network surrogates that estimate portfolio VaR / CVaR in milliseconds — within 1% of a 100M-sample Monte Carlo baseline.
AI Data Platform · Pipeline · 2025
An AI-driven data pipeline that unifies fragmented Indian oceanographic datasets — CMLRE, Angria Bank, marine-mammal surveys — into one clean, analysis-ready schema.
LLM Tooling · Developer UX · 2025
Point it at any GitHub repository and it generates a human-readable walkthrough — file structure, key components, and overall workflow — using AI.
Multi-Agent System · Quant Finance · Agentic AI · 2026
A 9-agent autonomous investment committee for intraday NSE/BSE paper trading. Five specialist AI agents debate each signal through a Dynamic Trust Framework — GARCH(1,1) volatility guards, Ledoit-Wolf shrinkage diversification, full trade explainability enforced.
Multi-Agent NLP · Research Analysis · Agentic AI · 2026
A five-agent LangGraph system that answers "why should I believe this paper?" — extracting claims, mapping evidence, surfacing limitations, and generating a structured skepticism report from any academic PDF.
Graph Neural Networks · Spatiotemporal ML · 2026
Three progressively deeper GNN architectures — GAT, GAT+LSTM, GAT+LSTM+Attention — for predicting congestion classes on the 12-node Abilene backbone, with a focus on diagnosing and fixing training bottlenecks.