Systems / AI / Backend

I build backend and applied AI systems for complex, operationally relevant problems.

Software engineer working at the intersection of backend, machine learning, and product. I like problems where domain understanding, architecture, observability, and pragmatic execution matter as much as the model.

Current operating surface

Engineering beyond the demo path

I am interested in systems that can be traced, operated, evaluated, and changed without depending on magical thinking or excessive complexity.

> portfolio.identity: editorial / calm / technical> rag.lab: deployed / docs / retrieval surface> website.builder: figma -> codex -> deploy
01deployed product lab
Gobackend/API systems
RAGapplied ML focus
OSagentic workflow

Selected systems

A small set of public work, written as systems rather than screenshots: what problem exists, what trade-offs matter, and how the implementation behaves.

AI System

RAG Lab

A deployed RAG backend and product surface for testing retrieval, ingestion, source behavior, and access boundaries.

View system ->