
I build internal tools and workflow systems for teams that need clearer evidence, safer automation, and better decisions.
Best fit: junior product/full-stack roles around internal tools, support automation, and operational decision support. iOS product work and optimization research are adjacent proof, not separate directions.
I build internal tools and workflow systems with clear evidence, human review, and practical decision support.
OpsDesk: a deployed support/operations demo with evidence packages, draft actions, approval gates, feedback memory, and audit replay.
Nimbus: SwiftUI/iOS product implementation with weather data flows, widgets, fallback behavior, and feature-level polish.
DTU × Mover Thesis: a real logistics planning project that turns routing constraints into decision-support evidence.
A support/operations demo that turns cases into evidence, draft actions, approvals, feedback memory, and replayable logs.
A live, map-first decision-support tool for prioritizing Danish EV charging and local flexibility investments under budget, grid-zone, and regional constraints.
A polished iOS weather-journal product with SwiftUI surfaces, shared settings, weather data flows, radar/wind features, and fallback behavior.
A real logistics planning project with Mover context: decide how multi-day deliveries should be admitted, routed, and recovered when depots are under stress.
The site keeps a little personality, but the path is practical: start with Work, then Resume if you want the compact hiring version.