Strategy & Vision
I build AI systems that move metrics. Strategy meets engineering.
Too busy shipping to take a photo.
Will fix soon ;)
I specialize in taking AI from concept to production — the part most teams struggle with. My work spans retrieval systems, multi-agent architectures, and ML pipelines that run reliably at scale. I've shipped systems across market research, healthcare, finance, and compliance — each with measurable business outcomes attached. At ContextJet, I lead strategy and technical direction, working closely with clients to identify high-leverage problems and designing systems that solve them elegantly.
The best AI isn't the most complex — it's the most effective. Complex is easy. Effective is rare.
Highlights
Expertise
Products that move business metrics, not just impress in demos. Every project I touch has a number attached.
Multi-agent pipelines, tool-calling architectures, and prompt optimization that actually works at scale.
Knowledge-aware systems over internal data. Auditable, fast, and accurate enough to trust.
Selected Work
01LangGraph architecture, vector DB, deployment
Entity-linked graph over documents for import/export compliance workflows. +87% answer precision, –45% research time. Auditable citations and faster handoffs. Salesforce integration.
02Architecture, multi-agent pipelines, Azure deployment
Built a framework to synthesize real-time respondent data for text and image studies with ~90% accuracy vs live benchmarks (MAPE < 10% across Likert items). Generated over $300K in revenue. Replaced traditional survey panels costing 10x more.
03LangChain agents, Pydantic workflows, React UI
Automated prospecting, enrichment, personalization, outreach, and reply handling for a Wall Street brand targeting PE/hedge funds/family offices. +35% qualified meetings, –60% manual prospecting, 200–300 targeted leads/week.
Full system design, ML pipeline, RAG integration
Developed an LLM-based virtual try-on system for a leading clothing brand using diffusion models (StableVITON) and LangGraph for product/size chat. Drove +25% time on page, +18% CTR. CV pipeline with MediaPipe and RAG over product catalog.
Graph modeling, API design, optimization
Built a Neo4j/Cypher knowledge graph for routes, hubs, and SLAs. Improved on-time delivery +8%, reduced route time –12%, faster exception resolution. APIs exposed via FastAPI.
ML models, LangGraph, Databricks deployment
Anomaly detection on vibration/temperature for industrial conveyors combined with RAG and forecasting for planners. Reduced unplanned maintenance –15%, planning cycle –30%.
Hackathon Products
Ideas stress-tested under extreme constraints
AWS Breaking Barriers Hackathon
Digital Inclusion Copilot — agentic workflows that adapt to cognitive and physical abilities, making AI accessible to everyone.
HackAI Dell/NVIDIA
Enterprise Document Risk Copilot — RAG-powered compliance scanning that catches what humans miss in contracts and policies.
UCSD SMASH NSF HDR
Neural forecasting with out-of-distribution generalization — predicting the unpredictable with uncertainty quantification.
Build for Africa
AI-assisted cross-border payments via Lightning Network — making remittances instant and nearly free for underbanked populations.
Smart India Hackathon
Blockchain + AI legal record vault — tamper-proof case management with intelligent retrieval for India's judiciary.
Kaggle M5 Forecasting
Retail demand forecasting with hierarchical uncertainty — knowing not just what will sell, but how confident to be.
NASA Space Apps Challenge
3D ISS visual intelligence with AI explain mode — making space station data accessible to researchers worldwide.
ActInSpace
Space communications reliability planner — optimizing deep space relay networks for mission-critical data transmission.
9
Products Built
5
Countries
2022–26
Active Years
Recognition
Currently
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