The arc.

I trained as an electrical engineer and spent about five years doing contract electronic product development through Coresight. Schematic capture, PCB layout, firmware, EMC testing, certification. Full lifecycle, from first schematic to finished product. The industries were mostly smart metering, smart home, and industrial consumer electronics. Customers brought a product idea, we developed the hardware and firmware end to end.

The pivot to software, and then AI, came from a specific frustration. On one project, neither the customer nor our engineering team could figure out which norms actually applied to the product, or who was even responsible for deciding. Everyone assumed someone else had it covered. That exact gap became NormScout, which I started building in October 2025. It's a compliance tool that shows developers which standards apply to their product based on what they're building and where they're selling it. Pre-revenue, but the problem is real and nobody else is solving it well.

I'm currently studying electrical engineering at OST and switching to data science at FHGR starting September 2026. Day to day I split time between Coresight contract work and building NormScout. On the hardware side I live in Altium and Fusion 360. On the software side it's Python, FastAPI, Claude CLI, SQLite, and vanilla JS. I also do freelance AI consulting, helping companies figure out where AI actually fits into their workflows. I'm interested in the messy middle ground where domain knowledge matters more than model size.