About
I make data usable — and the systems around it dependable.
I'm a data & automation specialist who likes the unglamorous middle of the stack — the pipelines, the schedulers, the reconciliation jobs — and the interfaces that make their output mean something.
Lately my work splits between shipping reliable automation and applied research into anomaly detection and forecasting. I care about systems that keep working when no one's watching, and about showing a result clearly enough that someone can act on it. [placeholder bio — replace with your own story.]
01 — Path
How I got here
2025 — NOW
Applied research & independent systems work
Splitting time between anomaly-detection research and building automation for teams who drown in manual data work. [placeholder]
2022 — 2025
Data & automation engineer — [Company, ph]
Owned the pipelines and the dashboards on top of them; cut a lot of nightly toil. [placeholder]
2018 — 2022
Studied [field, ph] — first taste of real data
Where the interest in turning messy measurement into decisions started. [placeholder]
02 — Toolkit
What I work with
Languages
Data & pipelines
Research / ML
Interfaces
03 — Philosophy
A system isn't finished when it runs — it's finished when someone can trust it without understanding it.
So I optimise for legibility and recovery: clear signals, honest failure modes, and a way back when something breaks. [placeholder — your principles.]