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β I build AI systems that don't just demo well β β
β they handle 500+ PRs a day, power real teams, β
β and make engineers' lives measurably better. β
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I'm a GenAI Engineer who gets obsessed with the gap between AI that demos and AI that ships.
My sweet spot: multi-agent systems, RAG pipelines, and LLM workflows that handle real production load.
- π Currently building AI-powered developer tooling @ Typoapp β code review agents, engineering intelligence systems
- π§ͺ 3+ years turning AI research into 12+ shipped products on GCP
- π§ Fascinated by agentic AI, knowledge graphs, and making LLMs actually useful in complex workflows
- π± Always exploring: MCP, Google ADK, smarter retrieval strategies
- β‘ Fun fact: I went from Mechanical Engineering β AI Engineer. Context switching is kind of my thing.
| Layer | Tools |
|---|---|
| π€ AI/LLM | Gemini Β· GPT-4 Β· Whisper Β· LangChain Β· Google ADK Β· RAG Β· MCP |
| π Backend | Python Β· FastAPI Β· Flask Β· REST APIs |
| βοΈ Cloud | GCP Β· Vertex AI Β· BigQuery Β· Cloud Run Β· Cloud SQL Β· Docker |
| π Search & Memory | FAISS Β· Neo4j Β· Vector DBs Β· Embeddings |
| π οΈ Dev | Git Β· GitHub Β· SQL Β· Prompt Engineering |
π¬ Code Review Agent β An AI that reviews PRs using Gemini + a Neo4j knowledge graph of your entire codebase. It knows which files are risky, who owns what, and ranks suggestions by actual impact. Not just "looks good to me."
π§ Ask AI β A multi-agent system where engineering leads ask plain-English questions and get answers backed by real sprint data, CI/CD metrics, and team analytics. 90+ live data tools, all orchestrated via MCP.
π Gift Intelligence β LLM that figures out the perfect gift by reasoning about relationship context, occasion, and personality. Harder than it sounds when you need it to work on 10,000 SKUs.
πΈ BillPulse β GCP billing dashboard that detects cost anomalies before your cloud bill becomes a horror story.
- βοΈ Google Cloud Skill Boost β Generative AI, Vertex AI, LLMs, Prompt Engineering



