This is my personal developer blog — a place to collect thoughts, experiments,
and technical notes around machine learning, engineering, and the many things
that tend to break once theory meets reality.
My main interests currently revolve around:
- applied machine learning and MLOps
- applied statistics and stochastic systems
- computational social science (when time permits)
- systems that appear simple but hide non-obvious complexity
- reproducible setups, tooling, and engineering workflows
- understanding why things fail, not just how to patch them
The posts here range from small technical explorations to more structured
write-ups and blueprints that I use in my own work. They are intentionally
pragmatic, occasionally opinionated, and rarely polished — mostly notes I
wish I had come across earlier myself.
If you already know me, you might recognize this view from my home village.
If not, feel free to make a guess.
— mxli417