📍 Zurich

CTO, software engineer, and product-minded technical lead based in Zurich.

I build practical software at the intersection of legaltech, AI, search, and data systems.

I'm currently building Checkname.ch, a Swiss legaltech product that helps founders and businesses evaluate brand-name risk across trademarks, company names, domains, and web presence.

I also work as a Lead Engineer at Zurich Insurance.

The projects, work, and opinions shared on this GitHub profile are my own and are not associated with or representative of my employer.

• Vertical software products with clear commercial value
• AI-assisted workflows that improve decision-making, not just automation for its own sake
• Search and retrieval systems that combine multiple signals into usable product experiences
• Data-intensive systems where quality, traceability, and reliability matter
• Software products that go from backend and infrastructure through to user-facing delivery

AI-assisted Swiss trademark and business name search with risk analysis for founders, entrepreneurs, and brand builders.

It helps users assess naming conflicts across:

• Swiss trademarks
• Swiss company registers
• Domain availability
• Web presence and naming similarity signals

What I enjoy about this product is that it combines:

• Search orchestration across multiple sources
• AI-assisted analysis and risk assessment
• Product design for a real user problem
• Data and backend engineering behind a commercial workflow

• Start with the real user problem
• Prefer practical systems over hype
• Use AI where it creates leverage, not noise
• Treat data quality and system design as first-class concerns
• Keep architecture understandable
• Ship useful products fast

• Software engineering
• Legaltech product development
• AI product engineering
• Agent engineering
• Data engineering
• Search and retrieval systems
• Backend architecture

• Website: checkname.ch
• LinkedIn: linkedin.com/in/luzianserafin

I'm especially interested in building high-value software where product thinking, strong engineering, AI-enabled workflows, and data systems come together.