Velocity without regression.

The Silicon Valley iteration loop, hardened by years of shipping ML into autonomous vehicles.

See How I Work →

I'm Jasper Fionn Friedrichs. I run Fionn Innovation. I was one of the first 40 engineers on Lyft's robotaxi team, scaling the autonomous driving stack from prototype to public road deployment, an effort that led to a $550M acquisition by Toyota. I then spent three years as a Staff Engineer at Toyota's AI division, where shipping ML into real-world autonomous vehicles meant every release had to be proven better, or at least no worse, than what came before. Now I bring that experience to European and US teams building with AI.

Based in Dublin, working with teams across Europe and the US.

Four principles

  1. Speed Through Structure

    I help teams design their development process around rapid, quantified iterations. Every experiment should answer a question. Every release should move a metric.

  2. Ship With Confidence

    Proving a new system is better, or at least no worse, is the hardest problem in AI development. Seven years shipping code and ML into autonomous vehicles is where I developed the answer.

  3. Hands-On, Not Just Advisory

    I still build. My advice is grounded in software I've shipped recently, not slides from years ago.

  4. Drawn to Work That Matters

    Climate, mobility, biodiversity, and any work where AI makes the humans in the room more capable, not optional.

Credentials

  • Woven by Toyota. Staff Engineer. ML-first transformation. Validation and Release. Two patents.
  • Lyft Level 5. Founding team. Robotaxi from parking lot prototype to public roads.
  • TUM. M.Sc. Electrical Engineering and Information Technology. Master's thesis at BMW.

Tell me what you're building.

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