I architect and deliver scalable AI pipelines, LLM‑driven workflows, and backend‑first systems that run reliably in production. No hype—only pragmatic infrastructure.
- LLM & AI Workflows — large-scale pipelines, embedding stores, fine-tuning, structured data
↔️ NL bridges - Data Engineering & Observability — telemetry agents (MSSQL, PostgreSQL, MySQL, Mongo) → Fluentd/Redis → dashboards
- Backend‑First Web — Django + Tailwind + HTMX UIs (no SPA bloat); clean REST APIs
- Data & ML Tooling — Pandas, NumPy, Scikit‑Learn, Keras, TensorFlow, fully CI-tested
- Clean Code — modular abstractions, versioned schemas, zero untested data code
| Category | Tech & Frameworks |
|---|---|
| Languages | Python • Go • JavaScript • SQL • Bash • (Rust ⚡) |
| Web & APIs | Django • Django Tailwind • HTMX • Flask |
| AI / LLM | CrewAI • Gemini AI |
| Data & ML | Pandas • NumPy • Scikit‑Learn • Keras • TensorFlow |
| Databases | PostgreSQL • MSSQL • MySQL • MongoDB |
| Infra | Docker • Fluentd • Redis • GitHub Actions |
| Tooling | Obsidian • VSCode/Neovim • TUI & CLI patterns |
Architect for scale. Ship what matters. Test relentlessly.
- Abstractions over boilerplate
- Local-first dev & reproducible infra
- No untested code — especially in data transformations
- Iterate until intention is obvious
