Software engineer
I build backend systems and tools, and I’ve been spending more time on ML and LLM-based features lately: search over documents, automations, and the usual APIs and data work that holds it together.
I’m a software engineer. Most of my experience is on the backend: services, integrations, and keeping production stable. When I work with AI, it’s usually the same idea—something has to run every day without surprises.
Below is a short list of projects where that showed up. For jobs and dates, my resume and LinkedIn match; use whichever you prefer.
A few things I’ve built where AI or retrieval was the point. Titles are placeholders until I hook up the real repos and demos.
RAG
Ask questions against internal docs; answers stick to sources and include citations where possible.
Automation
Turn noisy inputs into summaries, tasks, or briefs; a human still signs off when it matters.
Analytics
Small UI to see whether answers are getting worse, and why (prompt change, data drift, bad feedback).
Occasional notes on shipping ML-backed features and not breaking production. I’ll wire these buttons once the posts live somewhere stable.
Hiring, contract work, or a technical question—email is best. I read everything; response time depends on the week.