About
I build practical systems across software, automation, data workflows, and applied AI.
This site is where I publish the projects, notes, experiments, and technical write-ups that are worth keeping public.
I am less interested in looking busy than in showing real work: things I built, what I learned, what broke, what improved, and what I would do differently the next time.
What I care about
Most of my interest clusters around tools and systems that are actually useful in everyday work.
That usually means some mix of:
- Local AI tooling and agent workflows
- Automation and developer tooling
- Data-oriented projects and applied machine learning
- Systems that solve real problems instead of just looking good in demos
How I think about building
I like tools that reduce friction, clarify decisions, and make technical work easier to sustain over time.
In practice, that often means building systems that combine:
- Local or self-hosted models
- Retrieval and structured knowledge
- Workflow automation
- Interfaces that make useful things easier to do repeatedly
That includes experiments with tooling, infrastructure, note systems, content systems, and software that can support day-to-day work instead of existing only as a proof of concept.
What to expect here
Most of what I publish here falls into a few buckets:
- Project updates
- Technical notes
- Build logs
- Write-ups on tools, workflows, and lessons learned
Some posts will be polished essays. Others will be more like field notes. I am okay with both, as long as they are useful and honest.
The goal is for this site to feel current, grounded, and worth returning to.