ML Engineer building production systems that go beyond demos.
MS Applied Machine Learning @ UMD · Previously Euler AI (SF) · NeurIPS 2023 · PearVC × OpenAI Hackathon Finalist
- Euler AI — Built 5+ production backend services on GCP. Designed LLM evaluation framework (G-Eval). Shipped PII guardrails.
- Open-Source — Contributor to Mem0 (47k+ ⭐) and EmbedChain — 5+ merged PRs improving memory and RAG.
- Research — Published at NeurIPS 2023 Workshop on evaluation methodologies for domain-specific LLMs.
💬 AI Resume Chatbot · Try it live →
Production RAG system — FastAPI + React + Vertex AI with streaming SSE.
8-layer security pipeline · 40% latency reduction via custom async httpx · fail-open resilience design.
🔎 English2SQL
Natural language → SQL over Postgres with schema-aware retrieval. +9% accuracy via prompt iteration and RAG.
📄 Domain-Specific LLMs
NeurIPS 2023 Workshop — evaluation methodologies for domain-faithful LLMs. RAG vs fine-tuning tradeoffs.
ML / LLM: RAG · LLM Evaluation · Guardrails · Vector DBs · Fine-tuning
Backend: FastAPI · Python · PostgreSQL · Docker · GCP
Observability: Langfuse · Structured logging · Cost tracking
Frontend: React · Vite · Tailwind CSS
🎓 MS in Applied Machine Learning @ University of Maryland (2027)
🛠️ Building tools that bridge ML research and production