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Alexander HenkesAH

Alexander Henkes

PhD, AI Researcher & Engineer

€2,180/day
Zurich, CH
8-15 years

Average response time: 1 hour

About 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.
  • German

    Native or bilingual

  • English

    Fluent

  • Russian

    Conversational

Can work on-site
Zurich (up to 50km)

Experience

  • Dr. Alexander Henkes - AI Development & Solutions Z¨ urich
    AI Researcher & Engineer
    March 2025 - Today (1 year and 4 months)
    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.
    artificial intelligence Agentic Systems AI Automation Start-up Consulting
  • ETH AI Center
    Postdoctoral Researcher
    September 2023 - September 2025 (2 years)
    Switzerland
    • • Designed and validated neuromorphic mechanical systems (using nano/micro scale springs, dampers, masses) achieving universal approximation with
    drastically 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 companies
    and academic institutions.
  • TU Braunschweig
    Postdoctoral Researcher
    October 2022 - August 2023 (10 months)
    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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Education

  • Doctor of Engineering
    Technical University of Braunschweig
    2022
    Doctor of Engineering
  • Master of Science |
    Paderborn University
    2018
    Master of Science |

Skill set

Categories