David Hartmann
Staff Machine Learning Researcher at Lambda
Mainz, Rhineland-Palatinate, Germany
Summary
👤
Senior🎓
Top SchoolDavid Hartmann is a Staff Machine Learning Researcher with nine years of experience blending deep learning research and practical engineering, currently leading ML research at Lambda after completing a PhD at Johannes Gutenberg University Mainz. His academic work spans stochastic binarization, activation pattern analysis, and automatic learning rate scheduling, and he has co-organized and taught multiple computational and statistical modelling courses. A hands-on open-source contributor to the popular visdom visualization tool, he has improved UI ergonomics and plotting APIs—demonstrating a knack for making research tooling more usable. He also tinkers with reverse-engineering server APIs to streamline workflows, reflecting a pragmatic approach to productivity. Based in Mainz, Germany, David pairs rigorous theoretical insight with full-stack implementation skills and is actively seeking new challenges where research meets production.
9 years of coding experience
8 years of employment as a software developer
Doctor's Degree Computer Sciences, Doctor's Degree Computer Sciences at Johannes Gutenberg University Mainz
Github Skills (9)
uid10
javascript10
web-development10
front-end-development10
ui-design10
react10
api8
apidoc8
python6
Programming languages (8)
Github contributions (5)
fossasia/visdom
Jan 2022 - Jan 2023
Tool for real-time visualization, monitoring and collaborative analysis of AI/ML experiments and live data. Supports Python, PyTorch/Torch, NumPy, TensorFlow/Keras https://visdom.dev
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:22 reviews, 195 commits, 52 PRs in 1 year
Contributions summary:David primarily contributed to the user interface and functionality of the Visdom project. They implemented new features for the heatmap API, including append, prepend, and replace functionality, adapting the demo accordingly. They also focused on enhancing the user experience by enabling double-click functionality for resizing windows and improved the functionality of the smooth line plot within the PlotPane. Furthermore, the user contributed to improving the UI by fixing bugs in UI components and updating minified JavaScript files.
aikerasmachine-learningmonitoringnumpy
lukeparser/lukeparser
Sep 2019 - Dec 2022
The Power of LaTeX, the Style of Markdown.
Contributions:165 commits, 23 PRs, 197 pushes in 3 years 3 months
latexmarkdownmarkuppublishingpython3
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