Staff AI/ML Engineer and startup co-founder. I ship production AI platforms — from multi-agent orchestration over 562K+ clinical trials to real-time trading engines — in Python, Rust, and TypeScript. Columbia Business School. 18+ years in tech.
Production multi-agent AI platform for healthcare. Orchestrates 163 specialized tools analyzing 562K+ clinical trials and 75.7M data points. RAG over 19.8M vectors with sub-second semantic search. Multi-provider LLM orchestration (Bedrock Claude, Groq, llama.cpp) with automatic fallback, cost optimization, and quality monitoring via Langfuse.
Production-grade quantitative trading agent implementing Bayesian portfolio optimization with Black-Litterman models, multi-strategy signal generation, and Kelly criterion sizing.
High-performance agent framework supporting multi-provider LLM execution, code agents, tool search, MCP integration, and auto-compact context management with streaming.
Real-time order flow analysis and 0DTE options trading engine in Rust. Processes live market data via WebSocket with Black-Scholes pricing and ML data recording pipeline.
Comprehensive Data/AI Engineer career progression platform with interactive SQL/Python labs, AI-powered mock interviews, video curriculum, and cohort management. 28 DB models, 76+ pages.
Autonomous AI-powered job application agent with browser automation. Supports Full Auto, Semi-Auto, and Assisted modes with intelligent job matching and AI-generated cover letters.
Decentralized peer-to-peer agent communication protocol eliminating platform intermediaries. 16 Rust crates, 763 tests, shipping iOS app with native SwiftUI, live Cloudflare relay, on-device encrypted intelligence, and USDC payments on Base.
Staff-level AI/ML engineer and startup co-founder with 18+ years building production systems across finance, healthcare, and developer tools. At Exmplr, I designed a multi-agent AI platform orchestrating 163 specialized tools over 562K+ clinical trials, with RAG at 19.8M vectors and multi-provider LLM orchestration.
Prior: 6 years at Citigroup architecting event-driven data pipelines and microservices for financial platforms handling millions of daily transactions. Before that, 6 years at Bank of America building trading and risk management systems. Started my career leading a team of 20 engineers at Microsoft India.
Columbia Business School. Deep across the full ML stack: PyTorch, TensorFlow, Hugging Face for model dev; Airflow, Kafka, Spark for pipelines; MLflow and W&B for experiment tracking. Currently seeking Staff/Founding AI/ML Engineer roles.
Open to Staff/Founding AI/ML Engineer roles.