"I build systems that work under real production constraints."

My path in engineering began in Linux system administration and cloud infrastructure. Managing physical servers, network topology, firewalls, and containerized deployment pipelines provided me with a fundamental perspective: software applications never live in isolation from the operating platform.

Transitioning into senior backend engineering, I applied this systems perspective to Python microservices. I built high-concurrency RESTful APIs using FastAPI, SQLAlchemy 2.0 async sessions, Pydantic v2 schemas, and PostgreSQL. Rather than relying on fragile workarounds, I focus on solving performance bottlenecks at the database and memory layer.

Today, as an AI Backend & Platform Engineer, I specialize in bringing AI capabilities out of research sandboxes into enterprise environments. I build production Retrieval-Augmented Generation (RAG) platforms using PostgreSQL pgvector, hybrid lexical/semantic search, and agentic workflows with strict schema validation.