AI engineer

I ship LLM-powered products with evals, guardrails, and measurable quality.

I build applied AI systems end-to-end—from data and retrieval to evaluation, tracing, and production reliability.

Selected work

Client web experiences—structure, visual design, and production builds—with practical AI integrations, booking and lead flows, and clear information architecture for real businesses.

Technical stack

Languages & core

  • Python (Expert)
  • SQL
  • Pydantic
  • FastAPI
  • Docker

AI / LLM

  • LangChain
  • LlamaIndex
  • DSPy
  • RAG architecture
  • Evaluation (Ragas, LangSmith)

Data

  • Pinecone
  • Weaviate
  • PostgreSQL (pgvector)
  • ETL pipelines

Let’s build something careful and fast.

Open to roles in applied AI / ML platform / product engineering. Swap this for your preferred CTA.

you@email.com

Demo

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