$cat stack.json | jq .
// proficiencies
The stack I reach for, daily.
A working snapshot of what's in my toolbox right now — the technologies I use to ship AI-powered products. The list grows as the ecosystem moves; the philosophy doesn't: pick the boring tool unless there's a reason to do otherwise.
// ai · llm engineering
Production-grade AI features — RAG, agents, evals, streaming UIs.
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LangChain◈
LangGraph◈
LlamaIndex◈
Vercel AI SDK◈
OpenAI◈
Anthropic Claude◈
Gemini◈
Hugging Face◈
Pinecone◈
Qdrant◈
ChromaDB◈
MCP// web · mobile engineering
Where I spend the other half of my time — the product layer users actually touch.
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React Native◈
Expo
◈
Framer Motion
// backend · infra · tooling
Enough backend to ship features end-to-end. Enough infra to keep them running.
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Prisma◈
Docker
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Vercel
// core cs
Foundational — the part interviews actually test.
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Data Structures◈
Algorithms◈
OOP◈
System Design◈
LeetCode 100+