Über Alexander
Need AI that actually works, not just a proof of concept? I help startups and SMEs build production-ready AI systems that deliver measurable results. For one client, I built an agentic system that cut their daily workload from 1 hour to 5 minutes. For another, I designed an automated ML pipeline that made prototyping 1000x faster. What I bring: 6+ years of deep AI research (PhD summa cum laude, ETH Zurich postdoc, 10+ publications) combined with hands-on engineering. That means you get solutions grounded in science, not hype. Typical projects I handle: agentic AI workflows, LLM-based multi-agent systems, custom ML pipelines, generative AI applications, and AI strategy consulting. Based in Zurich, trilingual (DE/EN/RU), and co-organizer of Zurich AI, Switzerland's largest AI meetup.
Deutsch
Muttersprachlich oder zweisprachig
Englisch
Verhandlungssicher
Russisch
Konversationssicher
Vor Ort möglich
Zurich (bis zu 50 km)
Projekt- und Berufserfahrung
- Dr. Alexander Henkes - AI Development & Solutions Z¨ urichAI Researcher & EngineerMärz 2025 - Heute (1 Jahr und 3 Monate)Zürich, Switzerland• • Founded a company focused on developing customized end-to-end AI solutions.• • Developed an agentic AI system automating social media tasks for a cybersecurity consultancy, cutting daily workload by over 90% (1 hour to 5 minutes) and freeing resources for core client services.• • Designed and implemented fully automatic Machine learning pipeline for UAV surrogates including CAD generation and CFD simulations, providing over 1'000x faster throughput in rapid prototyping.• • Created a WhatsApp multi-agent for knowledge retrieval for a startup using a novel dual-lane quick/deep pipeline to overcome hallucinations.
- ETH AI CenterPostdoctoral ResearcherSeptember 2023 - September 2025 (2 Jahre)Switzerland• • Designed and validated neuromorphic mechanical systems (using nano/micro scale springs, dampers, masses) achieving universal approximation withdrastically reduced energy consumption compared to digital hardware (pre-print in preparation).• • Developing novel neural network solvers specifically tailored for discontinuous Partial Differential Equations arising in fracture mechanics.• • Co-organizing Zurich AI¨, Switzerland's largest AI meetup, hosting monthly events consistently drawing 100+ attendees from Zurich's top AI companiesand academic institutions.
- TU BraunschweigPostdoctoral ResearcherOktober 2022 - August 2023 (10 Monate)Braunschweig, NI, Germany• • Developed award-winning neuromorphic neural networks for real-time structural monitoring on restricted hardware, achieving 238x energy reduction compared to conventional methods (Journal, Conf/Pres, GAMM Sustainability Award 2023).• • Developed and taught an advanced master's course on scientific machine learning, covering topics such as Physics-Informed NNs, Neural Operators, and Bayesian Inference.
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Ausbildung und Abschlüsse
- Doctor of EngineeringTechnical University of Braunschweig2022Doctor of Engineering
- Master of Science |Paderborn University2018Master of Science |