Software engineer with a background in embedded systems, real-time software, tooling, automation, and large-scale engineering environments.
Most of my career has been spent building and supporting practical systems where reliability, maintainability, and long-term support matter more than hype.
My experience has primarily been in automotive, manufacturing, logistics, and railroad-related environments, working across system integration, process improvement, tooling, debugging, and engineering workflow optimization.
I tend to enjoy work that sits at the intersection of:
- embedded and real-time systems
- engineering tooling and automation
- system integration
- workflow optimization
- CI/CD and developer workflows
- software architecture and implementation
- mentoring and technical enablement
- AI-assisted engineering systems
I’m especially interested in practical uses of AI tooling that improve engineering workflows without replacing engineering discipline.
Currently exploring:
- AI-assisted engineering workflows
- local/private AI systems
- agentic tooling and orchestration
- Retrieval-Augmented Generation (RAG)
- GitHub automation
- CLI tooling
- workflow automation
- OpenClaw and local LLM experimentation
- developer productivity systems
Professional experience with:
- C
- Linux
- QNX
- Python
- Git / GitHub
- GitHub Actions
- CI/CD workflows
- Agile tooling and process alignment
- realtime and embedded systems
- engineering tooling and automation
Exposure to and continued interest in:
- AUTOSAR
- ISO26262
- ASPICE
- cloud architecture
- advanced networking
- local AI infrastructure
Over time I’ve learned to value:
- maintainability over cleverness
- iterative improvement over large rewrites
- reliability and testing
- practical solutions over trend chasing
- clear documentation
- process that serves engineering rather than process for its own sake
I’ve also seen firsthand how overengineering, poor requirements, siloed teams, and weak testing practices can quietly derail otherwise good projects.
Outside of formal work I enjoy experimenting with small electronics projects using Raspberry Pi and ESP32 devices, especially automation and RGB LED projects.
I also spend time exploring local AI tooling, workflow automation, and practical developer-assistance systems.
Building a more public engineering presence around practical tooling, automation, AI-assisted workflows, and systems-oriented experimentation.