Devdatta Majumder
Staff Scientist at BASE - Basel Agency for Sustainable Energy
Geneva Metropolitan Area Switzerland
Summary
👤
Senior🎓
Top SchoolDevdatta Majumder is an experimental particle physicist and data scientist with over a decade of experience translating petabyte-scale experimental data into novel physics insights and production-ready ML solutions. As a Staff Scientist at Ruđer Bošković Institute and long-time CMS collaborator at CERN, he has led large teams, reviewed and merged GitHub workflows, and built distributed, containerized pipelines that scale to LHC datasets. He combines deep domain knowledge from a PhD in elementary particle physics with practical engineering in Python, C++, Spark and PyTorch—delivering measurable gains such as an 8–12% improvement from an XGBoost regression and a 6–10× signal boost from early neural classifiers. He also applies ML to real-world problems like crop storage optimization in a mobile app for farmers, and has contributed generator integrations for single VLQ Monte Carlo production in a well-used CMS genproductions repo. Comfortable bridging research and production, he excels at designing ambitious feature-rich models (one classification with ~1400 features) and communicating complex results to diverse audiences.
12 years of coding experience
5 years of employment as a software developer
Savitribai Phule Pune UniversityBachelor's degree, Physics (Hons.), Bachelor's degree, Physics (Hons.) at University of CalcuttaDoctor of Philosophy - PhD, Elementary Particle Physics, Doctor of Philosophy - PhD, Elementary Particle Physics at Tata Institute of Fundamental Research, Mumbai
Github Skills (13)
simulations10
simulation10
configuration-management10
custom-configuration10
configurations10
high-energy-physics10
system-configuration10
yml-configuration10
monte-carlo10
scripting9
shell9
script9
sh9
Programming languages (3)
Github contributions (5)
cms-sw/genproductions
Apr 2015 - Feb 2019
Generator fragments for MC production
Role in this project:
Back-end Developer
Back-end DeveloperContributions:35 commits, 10 PRs, 20 comments in 3 years 10 months
Contributions summary:Devdatta contributed to the `genproductions` repository by adding and modifying configuration files related to the Single VLQ model, specifically within the context of MadGraph5_aMCatNLO. Their changes involved modifications to the `gridpack_generation.sh` script and other cards, indicating a focus on integrating new physics models and related parameter configurations into the framework for Monte Carlo production. These additions facilitated the simulation of single VLQ production, enabling high-energy physics research.
productionfragments
cmsb2g/B2GAnaFW
Jan 2015 - Oct 2018
Contributions:18 releases, 215 commits, 45 PRs in 3 years 10 months
cmsphysicspythoncompactpag
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