Christoph Henkelmann
CEO & Founder at DIVISIO
Cologne, North Rhine-Westphalia, Germany
Summary
👤
Senior🎓
Top SchoolChristoph Henkelmann is a seasoned software leader and entrepreneur with 14 years of engineering and management experience, currently serving as CEO & Founder of DIVISIO in Cologne. Trained in computer science and rooted in a Java server background, he has repeatedly founded and scaled technology firms (TheAppGuys, DIVISIO) while shifting his focus toward artificial intelligence and machine learning. As a hands-on engineer he contributes to open-source deep learning tooling in Java—implementing transformer components and fixing native memory leaks in the deepjavalibrary—demonstrating both low-level systems awareness and ML model expertise. Comfortable bridging product, architecture and execution, he combines startup grit with a track record of shipping robust backend systems and pragmatic AI solutions.
14 years of coding experience
18 years of employment as a software developer
Engineer's Degree Computer Science, Engineer's Degree Computer Science at The University of Bonn
Stackoverflow
1,437reputation
336kreached
11answers
6questions
Github Skills (14)
transformer-models10
javas10
machine-learning10
deep-learning10
ai10
java10
neural-network9
javascript6
jquery6
tensorflow6
itext6
seed6
scala6
autograd6
Programming languages (7)
Github contributions (5)
deepjavalibrary/djl
Apr 2020 - Jan 2021
An Engine-Agnostic Deep Learning Framework in Java
Role in this project:
Back-end Developer
Back-end DeveloperContributions:9 commits, 6 PRs, 12 comments in 8 months
Contributions summary:Christoph primarily focused on enhancing the deep learning framework in Java. Their contributions include implementing a Scaled Dot Product Attention block, a core component for Transformer models. They also refactored existing code, moved functionality to AbstractBlock, and addressed memory management issues by fixing a native memory leak. The user demonstrated a good understanding of the framework's architecture and contributed to the development of critical deep learning components.
pytorchmxnetcaffe2deep-learningagnostic
chenkelmann/djl
Apr 2020 - Jun 2020
An Engine-Agnostic Deep Learning Framework in Java
Contributions:39 commits, 22 pushes, 7 branches in 1 month
caffe2mxnetdeep-learningagnosticmachine-learning
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