About
I am an award-winning AI researcher, engineer, and consultant based in Zürich. I hold a Dr.-Ing. (PhD) in computational mechanics and machine learning, with published research in physics-informed neural networks, generative AI for materials science, and spiking neural networks for energy-efficient computing. My applied work spans LLMs, agentic AI systems, and AI-driven engineering simulation.
Before founding my consultancy, I held a postdoctoral fellowship at ETH Zürich working on neuromorphic mechanical systems and neural-network solvers for fracture mechanics, alongside applied research collaborations with industry partners across aerospace, automotive, and manufacturing.
Approach
I believe the highest value comes from the collaboration between human expertise and AI capability. Neither alone is sufficient. Humans bring judgement, context, and accountability. AI brings speed, pattern recognition, and scalability. Together, they produce work that exceeds the sum of each.
My work follows a principle I call Socratic skepticism: both human and machine must be mutually critical. I challenge my clients' assumptions, and I build systems that challenge mine. The goal is not agreement — it is better decisions.
Selected Work
Recent practice
- 1'000× faster
- ML pipeline for UAV aerodynamic surrogates — over 1'000× CFD throughput for rapid prototyping. Automated CAD generation included.
- 90% time
- Agentic AI for social-media automation — cybersecurity consultancy. Daily workload reduced from one hour to five minutes.
- Multi-agent
- WhatsApp knowledge-retrieval system — startup. Novel dual-lane quick/deep pipeline to mitigate hallucinations.
- Weeks → hours
- Automated OCR for handwritten visitor letters — Swiss cultural institution and two universities. ~70'000 letters, multiple languages, circular script. Pro bono.
- OWASP-aligned
- Private-internal AI chatbot pilot — OpenWebUI + Vertex AI (Gemini), web-search grounding, designed against OWASP LLM Top 10 guidance.
Industrial collaborations
- Aerospace
- Connector tube topology optimisation for a major US aircraft OEM (research collaboration). 40% weight reduction with titanium alloy + additive manufacturing; bio-inspired design.
- Automotive
- Manufacturing process optimisation for a global Tier-1 automotive supplier (industrial internship). Hydraulic-system protocol redesign; EUR 500'000 / yr projected energy-cost reduction.
- Submarine FEA
- Pressure-hull failure analysis for an unmanned research-submarine collaboration. Nonlinear FEA reproduced the experimental collapse depth and root-caused the failure; design and material upgrades validated against DNVGL standards.
- Sustainability
- Sustainable bicycle-stand redesign for a German bicycle-component manufacturer (industry collaboration). Wood-Plastic Composite, structural optimisation; reduced material, weight, and carbon footprint.
Ventures
- Co-founder
- relo2.ch — AI-powered relocation platform
- Stealth
- Agentic AI for high-complexity fluid-dynamics simulation — lithography and chip manufacturing
Credentials
- Education
- Dr.-Ing. (PhD), Computational Mechanics & Machine Learning, TU Braunschweig (summa cum laude)
- Postdoc
- ETH Zürich (2023–2025) — neuromorphic mechanical systems, neural-network solvers for fracture mechanics
- Publications
- 12+ peer-reviewed papers in Computer Methods in Applied Mechanics and Engineering, Royal Society Open Science, Neural Networks, Engineering Applications of Artificial Intelligence · ORCID · Google Scholar
- Awards
- ETH Postdoctoral Fellowship (CHF 235'200); Heinrich-Büssing Prize (best dissertation across all faculties) and Matthäi Prize (best dissertation in faculty), TU Braunschweig; GAMM Sustainability Award (238× energy reduction in neuromorphic structural monitoring); elected GAMM Junior Member
- Domains
- Deep Learning, LLMs, Agentic Systems, Generative AI, Scientific ML (PINNs), Neuromorphic Computing, Computational Mechanics
- Languages
- German (native), English (fluent), Russian (proficient)
- Location
- Zürich, Switzerland
Community & Service
- Organising
- Co-organiser of Zurich AI, Switzerland's largest AI meetup
- Teaching
- Master's courses on AI and ML methods in engineering (e.g., data-driven material modelling, engineering mechanics); supervision of PhD, Master's, and Bachelor's theses
- Selection panels
- ETH Career Seed Awards — evaluation panel
Partner Network
Ongoing collaborations on selected engagements.
- Lighthouse Labs — decision intelligence for fashion & retail
- unscripted — Swiss venture studio building digital products
- Mareike Jens — “Stop reading about AI. Just start.”
- Synerra — AI-powered sustainability frameworks marketplace
Interested in working together? Get in touch.