
Fractional CTO and technical advisor for deep tech and AI startups. 8+ years building production systems across robotics, AI/ML, SaaS, and hardware — from grid certification at CarbonFreed to CE marking at Bearcover to co-founding VoltVogel in regulated EV charging. Currently a fullstack builder at Damalo (AI-native Microsoft consulting) where AI compliance and privacy are central. Author of The EU AI Act Handbook. I help early-stage ventures make the right technical and compliance decisions early — before they become expensive to fix.
I help early-stage deep tech and AI startups make sound technical decisions — from agentic AI architecture and due diligence to regulatory compliance and product-market fit. My background spans mechanical engineering, robotics, AI/ML, and hardware across multiple regulated industries. I've built and shipped systems where safety, privacy, and compliance weren't optional — they were the product requirement.
With 8+ years building end-to-end systems across robotics, AI, SaaS, and hardware — plus co-founding a startup and leading compliance in regulated environments — I bring both technical depth and a practical understanding of what it takes to ship compliant products. I've worked through the same challenges you're facing: validating technical feasibility, building for safety, navigating regulatory requirements, and finding product-market fit.
From agentic AI systems and LLM integrations to robotics compliance and hardware-software integration, my diverse technical background allows me to assess feasibility, identify risks, and design architectures across deep tech domains. I've built production systems in SaaS, robotics, and AI—not just consulted on them.
Compliance has been part of every role I've held — from CE marking and ISO 13482 at Bearcover to grid certification at CarbonFreed to building in regulated EV charging at VoltVogel. I understand what it takes to bring regulated deep tech products to market. I also wrote The EU AI Act Handbook, and I can help you build compliance into your roadmap from day one.
Having co-founded startups and worked with early-stage ventures, I understand the constraints you're operating under: limited runway, MVP pressure, investor expectations, and the need to balance technical excellence with speed to market. My advice is calibrated for startup reality, not enterprise perfection.
I've reviewed pitch decks from both the engineering and investor side, and I know what questions technical investors ask. Whether it's due diligence, fractional CTO support, or go-to-market planning, I can give you a direct read on the technical and commercial tradeoffs.
Diverse projects across automation, robotics, AI/ML, and business development
Led team of 7 engineers building ROS2 ecosystem for personal care robots. Architected CE certification roadmap, migrated ROS1→ROS2 codebase, built remote operator dashboard, and established production DevOps infrastructure. Delivered ISO 13482 compliance with comprehensive safety systems.
Co-founded EV charging robotics startup with full technical ownership. Built OCPP 1.6 protocol implementation, ROS2 robotic system, computer vision for automated docking, and led distributed engineering team. Deployed 5 paid pilots, validated product-market fit through 20+ customer interviews.
Led AI team of 4 engineers building document intelligence pipeline achieving >95% accuracy across 20+ form types. Designed Azure microservices architecture, built RAG chatbot handling 70% of inquiries autonomously, and established production ML infrastructure with automated retraining pipelines.
Automated UI testing for BSH smart appliances using computer vision, robotic arms, and haptic feedback. Built comprehensive test framework with Python orchestration, reverse-engineered CAN bus protocols, and established CI/CD integration for automated regression testing.
Managed end-to-end robot deployment lifecycle including commissioning, customer training, and maintenance. Developed production ROS2 packages, built Quasimodo mapping backpack with SLAM, implemented MPC control systems, and ensured CE compliance with EMI/EMC testing.
Designed experimental setup for vibration analysis of centrifugal compressor impellers. Developed MATLAB analysis suite, validated results with ANSYS FEA, and designed automated test platform architecture combining laser vibrometry, robotic systems, and machine vision.
Resolved complex customer issues and led GDPR compliance initiative for supplier contract management. Specialized in German market customer service, achieved top-tier satisfaction scores, and developed strong problem-solving and communication skills.
Managed critical infrastructure operations ensuring 95%+ uptime for heavy industrial machinery. Developed comprehensive maintenance systems reducing unplanned downtime by 40%, led safety initiatives achieving zero lost-time accidents, and optimized operational efficiency reducing energy consumption by 15%.
Led large-scale infrastructure projects including 4.2 km high-pressure steam pipeline construction. Managed multi-disciplinary teams of 20+ workers, ensured quality and safety standards with zero incidents, and delivered projects on time and within budget.
Technical expertise and advisory capabilities for early-stage ventures
My advisory approach is hands-on, pragmatic, and calibrated for startup constraints. I don't just provide recommendations—I work alongside your team to validate technical feasibility, design architectures, and accelerate execution.
2-3 week engagements to assess technical viability, identify risks, and provide actionable roadmaps. Perfect for validating concepts before significant investment.
Design scalable system architectures for agentic AI, robotics, or SaaS products. Review existing architectures to identify technical debt, scalability issues, and optimization opportunities.
Navigate EU AI Act requirements, CE marking, and safety standards for AI/robotics startups. Build compliance into your roadmap from day one, avoiding costly retrofits.
Structured sprints to validate customer needs, design technical MVPs, and establish metrics for product-market fit. Turn customer conversations into technical requirements your team can build against.
Ongoing strategic technical leadership for pre-seed and seed-stage startups. Architecture decisions, team building, investor communication, and technical roadmap development.