Aravind Sugunan
AI ML Engineer 2 at Nielsen
Mumbai, Maharashtra, India
Summary
👤
Senior🎓
Top SchoolAravind Sugunan is an AI/ML Engineer with eight years of experience blending high-energy physics research and production-grade machine learning, currently at Nielsen after a research tenure at TIFR on the CMS experiment at CERN. He has deep expertise in deep learning, pattern recognition, NLP, computational physics and simulation, and has contributed to core tracking algorithms in the widely used cms-sw/cmssw codebase. At CERN he coordinated calibration and selection for calorimetric lepton triggers, operating on petabyte-scale data pipelines to train, evaluate and deploy models that run in hardware-level filters. His background combines rigorous academic training from TIFR and IISc with hands-on systems engineering—calibrating detectors, maintaining trigger hardware, and shipping backend code for track reconstruction. Known for translating complex physics problems into reliable software, he brings both experimental intuition and production ML engineering to interdisciplinary teams.
8 years of coding experience
Bachelor's degree Physics, Bachelor's degree Physics at Indian Institute of Science (IISc)Master of Science - MS Physics, Master of Science - MS Physics at Tata Institute of Fundamental Research
English, Malayalam, Hindi
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (5)
cer10
experiment10
cms10
c-language10
cprogramming-language10
Programming languages (5)
Github contributions (5)
cms-sw/cmssw
Aug 2020 - May 2022
CMS Offline Software
Role in this project:
Back-end Developer
Back-end DeveloperContributions:8 reviews, 25 commits, 14 PRs in 1 year 9 months
Contributions summary:Aravind primarily contributed to the CMS Offline Software project by modifying code related to track selection and tracking regions. Their work included adding new files, modifying existing ones, and implementing new configuration parameters. These changes involved core components of the tracking algorithm, demonstrating a focus on improving and extending the software's functionality in the area of track reconstruction and selection within the CMS experiment.
cmscernweb-appc-plus-plusbackbonejs
ats2008/EGTagAndProbe
Sep 2021 - Feb 2025
Cherrypicked codes from charis's original repo
Contributions:3 reviews, 18 PRs, 66 pushes in 3 years 5 months
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