Founder,@SNGNav, an offline-first navigation for Flutter on embedded Linux. Dead reckoning, Kalman filter, dual routing (OSRM + Valhalla), MBTiles offline maps
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
UD Trucks
Mobile Developer
June 23, 2026 – Present
linux_tts
May 20, 2026 – Present
Pure-Dart Linux text-to-speech (speech-dispatcher / spd-say) — accessible voice output for embedded-Linux. Extracted from SNGNav.
View Projectvss_crash_event
May 20, 2026 – Present
Pure-Dart typed data classes for vehicle crash/impact events, modelled on COVESA VSS vocabulary.
View Projectglb_stream
May 15, 2026 – Present
A pure-Dart streaming parser for the glTF 2.0 binary container (.glb) format.
View Projectwinter-aware-routing-example
May 7, 2026 – Present
Composition demo: routing_client_dart + condition_aggregator_jma + route_condition_forecast for winter-aware navigation
View Projectbentocall
May 3, 2026 – Present
Recursive long-context LLM calls in lunchbox shape — Lambda-RLM cloud port with auto-routing. Validated 47% saved vs Sonnet flat.
View Projectsngnav-app
April 28, 2026 – Present
Alpha-stage navigation companion for snow-zone commuting (HER pivot day output; eating our own SNGNav dog food)
View Projectnvinx
April 27, 2026 – Present
nginx-style scheduling primitives for limited-VRAM GPU bench setups — three composable patterns (serial_handoff / fractional_coresidency / ram_overflow), substrate-agnostic, framework-agnostic
View Projectspa-ai
April 23, 2026 – Present
SPA AI — Sakichi Principle Actuator AI. A broken thread must stop the loom. Never blame the human — build the loom that should have caught it.
View Projectreversibility-partition
April 20, 2026 – Present
A governance pattern distributing oversight authority by the reversibility of an action rather than by the class of the agent (AI vs. human).
View Projectbentoloop
April 12, 2026 – Present
Parallel LLM scout + confidence-gated synthesis loop for GitHub-grounded research
View ProjectCultural Fit Analysis
The candidate's personal projects show a strong inclination towards innovation and problem-solving, particularly in niche areas like vehicle systems and AI/LLM applications. The diversity of projects, from embedded Linux TTS to navigation apps and AI models, suggests a broad intellectual curiosity. However, the relevance of some AI/LLM projects to a 'Mobile Developer' role is indirect, potentially indicating a broader interest beyond core mobile development. The future start date for the current role makes it difficult to assess actual cultural fit within a professional mobile development team.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, indicating no completed assessment.