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Building intelligent systems at the intersection of research and product.
Previously: Full Stack Engineer at AdsGency AI (SF), shipping AI-assisted querying and ad generation systems.
AI Research at NYU Neuroinformatics Lab.
- AI-assisted natural language querying — SQL generation via DuckDB across multiple data sources at AdsGency AI
- Neural Event Detection — ML/DL models for voltage imaging data, browser-based analysis tooling
- RAG systems — local-first retrieval with Llama 3.1, LanceDB, and session-isolated multi-user architectures
AI for real products · retrieval systems · autonomous vehicles · computer vision · LLMs · finance & blockchains
Core — the tools I ship with daily
AI/ML — modeling, retrieval, and inference
Infra & Data — deployment, storage, and orchestration
| Project | What it does | Stack |
|---|---|---|
| Expert-Call RAG Assistant | Source-grounded Q&A over expert-call transcripts with local inference | Llama 3.1 · LlamaIndex · LanceDB · Gradio |
| Collections Strategy System | AI-generated outreach strategies from messy account data | FastAPI · React · OpenAI · SQLite |
| Neural Trace Explorer | Browser-based interactive analysis of calcium-trace neural data | Next.js · TypeScript · Python |
| Cloud-Native Social Automation | Serverless 5-stage content pipeline with AI captioning | AWS Lambda · Rekognition · Bedrock · OpenSearch |
When I'm not building, I'm probably reading, cooking or vibing to music.
Check out my Spotify if you're curious about the soundtrack.
Open to collaborations, research conversations, and interesting problems.