Soham Basu is a doctoral researcher in machine learning with nine years of hands-on experience building and benchmarking deep learning and hyperparameter optimization (HPO) tools. He developed PriMO, a prior-informed multi-objective HPO algorithm that achieved state-of-the-art results across DL benchmarks, and contributed extensible packages (hposuite, hpoglue, NePS, carp-s) to enable large-scale HPO evaluation. His background spans medical image analysis, computer vision, and practical ML systems, from X-ray/retina diagnostics to image denoising and super-resolution implementations. Based in Freiburg and now at the University of Tübingen for PhD work, he blends rigorous research with reproducible engineering and a knack for turning expert intuition into scalable optimization software. An early technical leader in web and ad operations, he brings interdisciplinary pragmatism—combining model-centric research with production-aware tooling.
9 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Embedded Systems Engineering, Master of Science - MS, Embedded Systems Engineering at The University of Freiburg
Doctor of Philosophy, Machine Learning for Science, Doctor of Philosophy, Machine Learning for Science at University of Tübingen
Bachelor of Technology - BTech, Electronics and Communications Engineering, Bachelor of Technology - BTech, Electronics and Communications Engineering at Heritage Institute of Technology
Indian School Certificate (ISC) - CISCE, Science, Indian School Certificate (ISC) - CISCE, Science at The Frank Anthony Public School, Kolkata
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