AI & What's Next
After 12+ years in classical embedded engineering, I'm convinced we're at a turning point: AI is changing not whether engineers are needed, but what kind. The successful engineers will be those who combine deep systems understanding with fluency in AI-augmented workflows. That's exactly the combination I'm building.
What I'm doing right now
AI-assisted engineering in practice
I run my own infrastructure — this very website lives on a VPS that I administer hands-on, with AI agents (Claude Code) as force multipliers for configuration, deployment, and automation. Real servers, real DNS, real TLS, real firewalls.
Agentic workflows
Exploring how autonomous and semi-autonomous coding agents change the development lifecycle — and where human architectural judgment remains irreplaceable.
Foundations
Strengthening the ML/LLM fundamentals beneath the tooling — my background in iterative inverse-problem algorithms and applied mathematics gives me a head start on the underlying concepts.
AI-Labs
Short notes from the workbench — engineering my own digital infrastructure and workflows, usually with AI agents as force multipliers.
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Own the Originals: How I Collect, Organize and Back Up My Media
A three-stage pipeline for personal photos and videos: automatic collection from phone and messengers, a managed private archive, and verified backups — with Google Photos demoted to a convenience.
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One Compose File, One Folder, One Front Door: Practical VPS Architecture
How I run my whole server as a single Docker Compose stack — easy to maintain, easy to back up, easy to extend. Decisions, trade-offs, and the commands I actually use.
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Building, Deploying, and Owning My Stack (With a Little Help from AI)
Why I host my portfolio on a self-administered VPS — and how an AI coding agent handles the plumbing.
Where this is heading: freelance & consulting
I'm available for freelance and consulting engagements from October 2026. The sweet spot:
- Embedded software architecture & development — C/C++, Embedded Linux, QNX, microcontrollers; automotive-grade processes (A-SPICE, V-Model)
- Architecture reviews & technical support — an experienced outside eye on your embedded/system architecture
- Agile technical leadership — interim Product Owner, project lead, or architect for embedded teams
- AI adoption for engineering teams — pragmatic introduction of AI-assisted development workflows, grounded in real engineering practice