I’m a project engineer and software builder who enjoys the detective work of solving messy problems — whether that’s in application code, data, or long-running systems that need care over time.
I’m drawn to work where the answer isn’t obvious at first and the real value comes from asking better questions, not just writing more code.
- Web applications (Rails, JavaScript, modern tooling)
- Data analysis, automation, and problem exploration using Python
- Systems that start scrappy and get better through iteration
I’m especially interested in work where data and software meet: finding patterns, validating assumptions, and turning ambiguity into something usable.
👉 HumanityPro
A Rails-based coaching and CRM-style application focused on real-world usability,
admin workflows, and long-term maintainability.
👉 PlumaFill
A puzzle game project exploring UX polish, game logic, and incremental design —
built deliberately with milestones and constraints instead of quick hacks.
👉 Data & Python work
Python-based projects and exercises focused on analysis, automation, and
exploratory problem-solving — treating data like evidence rather than answers.
(See pinned repositories for the best starting points.)
- Good questions matter more than flashy tools
- Data is a trail of clues, not a conclusion by itself
- Small, explainable steps beat opaque “magic”
I enjoy the investigative side of technical work: forming a hypothesis, testing it, and refining the approach when reality disagrees.
- Deepening my Python and data analysis skills
- Applying data thinking to real systems, not toy examples
- Continuing to mature existing projects instead of constantly starting new ones
Thanks for stopping by.