Malte Esders
Senior Machine Learning Research Engineer at px dynamics
Berlin, Germany
Summary
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Rockstar🎓
Top SchoolMalte Esders is a Senior Machine Learning Research Engineer based in Berlin with 11 years of experience bridging rigorous academic research and production ML for energy and physical systems. He completed a summa cum laude PhD on regularization of neural networks for quantum systems and has applied deep learning to 3D image segmentation at Harvard, producing a low-memory Cython implementation of MALIS for large volumes. His work spans ML force fields, reinforcement learning for nanoscale robotics, and short-term energy trading models, reflecting a strong grounding in mathematics and mathematical statistics. Comfortable moving ideas from theory to code, he combines research-grade rigor with practical engineering to deploy models in applied domains.
11 years of coding experience
10 years of employment as a software developer
University of California, San DiegoBachelor of Science with honors, Neurobiological and Cognitive Psychology, Bachelor of Science with honors, Neurobiological and Cognitive Psychology at Utrecht UniversityMaster of Science (MSc), Computational Neuroscience, Master of Science (MSc), Computational Neuroscience at Technische Universität Berlin
English, German, Dutch, Swahili
Github Skills (183)
parallel10
python10
windows10
nvim-cmp10
fennel10
vim10
hyperparameter-optimization10
lua10
deep-learning10
gpu10
ray10
optimization10
android-client10
donation10
statistics10
Programming languages (18)
Github contributions (5)
Maltimore/config_files
Jan 2015 - Mar 2022
Contributions:365 pushes, 9 branches in 7 years 3 months
Maltimore/uncommitted-changes-sync
Nov 2017 - Mar 2021
Contributions:34 commits, 49 pushes, 1 branch in 3 years 5 months
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