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║ I build AI systems that don't just demo well — ║
║ they handle 500+ PRs a day, power real teams, ║
║ and make engineers' lives measurably better. ║
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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.
- 🔭 Currently building AI-powered developer tooling @ Typoapp — code review agents, engineering intelligence systems
- 🧪 3+ years turning AI research into 12+ shipped products on GCP
- 🧠 Fascinated by agentic AI, knowledge graphs, and making LLMs actually useful in complex workflows
- 🌱 Always exploring: MCP, Google ADK, smarter retrieval strategies
- ⚡ Fun fact: I went from Mechanical Engineering → AI Engineer. Context switching is kind of my thing.
| Layer | Tools |
|---|---|
| 🤖 AI/LLM | Gemini · GPT-4 · Whisper · LangChain · Google ADK · RAG · MCP |
| 🐍 Backend | Python · FastAPI · Flask · REST APIs |
| ☁️ Cloud | GCP · Vertex AI · BigQuery · Cloud Run · Cloud SQL · Docker |
| 🔍 Search & Memory | FAISS · Neo4j · Vector DBs · Embeddings |
| 🛠️ Dev | Git · GitHub · SQL · Prompt Engineering |
🔬 Code Review Agent — 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."
🧭 Ask AI — 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.
🎁 Gift Intelligence — 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.
💸 BillPulse — GCP billing dashboard that detects cost anomalies before your cloud bill becomes a horror story.
- ☁️ Google Cloud Skill Boost — Generative AI, Vertex AI, LLMs, Prompt Engineering
