Abhirami Harilal
Machine Learning Engineer at CERN
Geneva, Geneva, United States
Summary
👤
Senior🎓
Top SchoolAbhirami Harilal is a Machine Learning Engineer and applied scientist with a PhD in Physics from Carnegie Mellon University and eight years of experience building ML-driven solutions for high-energy physics. Based in Geneva, she has been a DQM expert for the ECAL at CERN’s CMS experiment, contributing production-grade back-end fixes and new detector monitoring plots to the widely used CMSSW and DMWM repositories. Her work bridges rigorous academic research and operational data-quality tooling, combining statistical physics insight with practical software engineering to improve detector monitoring and calibration. Notably, she has hands-on experience integrating database-driven corrections (pedestal and laser transparency) into offline DQM pipelines—an example of turning research knowledge into maintainable production code.
8 years of coding experience
7 years of employment as a software developer
Dual degree Bachelor of Science BS Master of Science - MS Physics, Dual degree Bachelor of Science BS Master of Science - MS Physics at Indian Institute of Science Education & Research (IISER), KolkataDoctor of Philosophy - PhD Physics, Doctor of Philosophy - PhD Physics at Carnegie Mellon University
English, Hindi, Malayalam
Github Skills (10)
experiment10
cms10
c-language10
data-monitoring10
cprogramming-language10
python10
front-end-development9
cer9
data-structures8
data-structure8
Programming languages (5)
Github contributions (5)
dmwm/deployment
Mar 2021 - Nov 2022
CMS DMWM Deployment
Role in this project:
Back-end Developer
Back-end DeveloperContributions:8 commits, 9 PRs, 9 comments in 1 year 7 months
Contributions summary:Abhirami primarily worked on modifying the DQM GUI layouts within the "dmwm/deployment" repository, which is described as a CMS DMWM deployment. Their contributions focused on adding and modifying plots, particularly for the ECAL (Electromagnetic Calorimeter) section, involving changes to Python scripts used for the GUI. These changes include updates to existing plots, importing new plots, and adjusting plot descriptions. The overall impact is enhancing the data monitoring capabilities of the ECAL DQM.
cmsdeploymentdmwm
cms-sw/cmssw
Nov 2020 - Nov 2022
CMS Offline Software
Role in this project:Back-end Developer
Back-end DeveloperContributions:11 reviews, 76 commits, 57 PRs in 1 year 11 months
Contributions summary:Abhirami primarily contributed to fixing bugs related to tower mapping and indentation within the DQM/EcalCommon and DQM/EcalMonitorTasks directories. They added new plots to ECAL Offline DQM, incorporating pedestal and laser transparency corrections from the database. The user demonstrated the ability to modify existing code to improve the functionality of the ECAL Offline DQM system.
cmscernweb-appc-plus-plusbackbonejs
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