AI Engineer · Stockholm
I build production LLM systems — agent runtimes, eval and observability, the infra in between. Mathematics BSc (La Sapienza, Rome) + MSc coursework in Reinforcement Learning and stochastic processes (Stockholm University).
- 🔧 Merged into Google's Agent Development Kit —
adk-pythonPR #3756: diagnosed and fixed anhttpxclient-closure bug inVertexAiSessionService.get_session()during multi-page event pagination. Merged via Copybara, commitb725045. - ♟️ OOP-and-Functional-Chess — chess engine implemented twice (object-oriented and functional) to compare paradigms head-to-head.
- 📊 bustub-vectordb — fork of CMU's BusTub DBMS, exploring vector-search internals.
- Eval-first agent development — closing the loop between agent decisions and business outcomes
- Hybrid RAG (graph + document) and where it actually beats vector-only
- Coding-agent harnesses (Claude Code, Cursor) for team velocity
AI / LLM · LangGraph · LangFuse · hybrid RAG (Neo4j + DynamoDB) · prompt + eval design Backend · Python (FastAPI) · TypeScript (Remix on Node) Infra · AWS · Docker · Kubernetes · CI/CD Math · Numerical analysis · probability · optimization · RL
LinkedIn · alexisjh.one · alexismarasigan31@gmail.com
🎻 Fun fact: principal second violinist in two Italian youth orchestras (2016–2022) before fully pivoting to engineering.



