I'm an AI Product Engineer who builds AI features into practical products and workflows. My work connects language models, data pipelines, backend services, and cloud infrastructure—from prototypes to systems people can use.
- AI applications: RAG, GraphRAG, semantic search, document intelligence, and workflow automation
- AI engineering: Python, PyTorch, model pipelines, evaluation, and MLOps
- Backend and data: FastAPI, REST APIs, SQL, Kafka, Spark, Airflow, and Prefect
- Cloud and delivery: AWS, Google Cloud, Docker, Terraform, and GitHub Actions
- Developer tooling: Codex, agent skills, and AI-assisted software development
I'm interested in building reliable AI systems, understanding how they behave, and improving the developer workflows around them.
I maintain agent-skills, an English-language collection of agent skills for software engineering, including Python, SDD, TDD, and domain modeling. Upstream sources and licenses are documented in the repository.