Post-doctoral Machine Learning Researcher at University of Freiburg
Freiburg im Breisgau, Baden-Württemberg, Germany
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Summary
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Anup Kumar is a post-doctoral machine learning researcher with 12 years of engineering and research experience, currently advancing applied ML at the University of Freiburg. He combines deep learning, graph neural networks, and explainable AI to push node prediction and biological Q&A systems into production, and he fine-tunes large language models (Llama2, Mixtral) with RAG and SFT for scientific automation. His PhD work produced a Transformer-based recommendation engine deployed on the Galaxy platform serving 100,000+ researchers, and he has contributed over 400 GitHub pull requests across high-profile Galaxy repositories, including front-end image annotation and ML tool wrappers. Anup also builds GPU-enabled, Dockerized JupyterLab environments and end-to-end ML frameworks integrating TensorFlow, scikit-learn, and XGBoost to streamline research workflows. He mentors aspiring ML scientists through teaching and open-source training material, and uniquely pairs production-grade engineering with academic rigor (PhD magna cum laude).
13 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science and Machine Learning, 1.0 Magna Cum Laude (Sehr Gut/ Very Good), Doctor of Philosophy - PhD, Computer Science and Machine Learning, 1.0 Magna Cum Laude (Sehr Gut/ Very Good) at The University of Freiburg
B.Tech, IT, Dept of CS, B.Tech, IT, Dept of CS at National Institute of Technology Kurukshetra
Contributions:106 reviews, 204 commits, 56 PRs in 4 years 6 months
Contributions summary:Anup primarily contributed to the repository by adding and updating tutorial content. Their work focused on creating new tutorials related to Scikit-learn, with clear instructions and illustrative examples. They updated existing material related to machine learning, adding details about applications of machine learning and including hands-on examples.
Contributions:59 reviews, 99 commits, 41 PRs in 5 years 1 month
Contributions summary:Anup primarily contributed to tools for the sklearn package for machine learning. The contributions include adding features such as confusion matrix plots and other plots. They updated the code for python3 and added the support for new parameters such as ROC and AUC curves. Furthermore, the user also updated tools for pickle and py3 and removed unused model files.
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