Korbinian Koch is an AI Engineer with nine years of cross-disciplinary experience building production-facing ML and cloud-native systems, currently focused on agentic LLM/VLM solutions at Accenture Song. He combines hands-on engineering in Python and LangChain-style stacks with cloud and infra experience across Azure, Databricks, PostgreSQL and GCP, and has a track record of shipping reranking frameworks, microservices, and experiment tooling. His academic path—BSc in HCI, an MSc in Intelligent Adaptive Systems, exchange stints in Toronto and Calgary, and current PhD work at TU Berlin—reflects a blend of human-centered design and deep technical research. Notably, he has practical experience amplifying diversity in recommendation systems and independently built experiment-monitoring tooling early in internships, showing a bias toward operational robustness. Based in Hamburg, he’s comfortable translating research ideas into scalable product integrations for large European industry clients.
9 years of coding experience
Master of Science - MS Intelligent Adaptive Systems, Master of Science - MS Intelligent Adaptive Systems at University of Hamburg
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Technische Universität Berlin
Graduate Exchange Student Computer Science, Graduate Exchange Student Computer Science at University of Toronto
Undergraduate Exchange Student Computer Science, Undergraduate Exchange Student Computer Science at University of Calgary
TensorHue is a Python library that allows you to visualize tensors right in your console, making understanding and debugging tensor contents easier.
Contributions:18 releases, 14 PRs, 115 pushes in 9 months
arraysjaxnumpypytorchtensorflow
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