Applied-AI engineer who builds with agents across the full stack. 15+ months working agentically through research, frontend, backend, and data; built seven non-trivial applications with agentic CLI harnesses (Claude Code primary). Led a team to a 3rd-place, C-suite-judged AI hackathon finish. Pairs agent fluency with the engineering discipline — TDD, CI/CD, validation — that makes agent-built software durable.
Agentic development: Claude Code (primary daily driver), Codex, Gemini CLI / Antigravity, GitHub Copilot, GitLab Duo, Qwen, NotebookLM; local inference via Ollama (Open WebUI over Tailscale)
Methodology: RECL (Requirements · Execute · Check · Loop); PRD.md / AGENTS.md / TASKS.md scaffolding; TDD with pytest as the verification layer
Languages: Python (production), SQL (production), TypeScript / JavaScript (working), Bash
Tooling: uv, ruff, ty, prek; Git / GitLab CI/CD; structured logging; Snowflake
Build surface: web apps, TUIs, data ingestion, external-API & local-data integration
De-facto AI/data engineer · Project lead · Python & Git authority for a 100-analyst organization