Chirag Subramanian
Principal AI ML Engineer at Takeda
Bengaluru, Karnataka, India
Summary
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Senior🎓
Top SchoolChirag Subramanian is a Principal AI/ML Engineer based in Bengaluru with nine years of hands-on experience building production-ready machine learning, optimization and analytics solutions across healthcare, semiconductor and insurance domains. He has progressed from statistical modeling and large-scale R workflows to leading ML engineering efforts that delivered a 100% execution speedup on priority-ordering systems and deployed propensity models that improved business outcomes by double-digit percentages. At Takeda he now focuses on AI/ML and operations research for enterprise use cases, drawing on prior roles where he engineered models in Python, PySpark and R and processed datasets spanning billions of rows. He pairs strong applied statistics and ML expertise with practical software and testing contributions—evident from improving test coverage in the widely used awslabs/aws-config-rules repo—and a track record of mentoring and shipping deployable products. Educated in operations research and analytics at Northeastern and Georgia Tech, he brings a methodical, optimization-first mindset to ambiguous problems. Colleagues describe him as a pragmatic problem-solver who can translate complex algorithms into reliable, production-grade systems.
9 years of coding experience
3 years of employment as a software developer
Master of Science - MS Analytics, Master of Science - MS Analytics at Georgia Institute of TechnologyBachelor of Engineering - BE Mechanical Engineering, Bachelor of Engineering - BE Mechanical Engineering at Manipal Institute of TechnologyMaster of Science - MS Operations Research, Master of Science - MS Operations Research at Northeastern UniversitySummer Courses Statistics, Summer Courses Statistics at Stanford University
Stackoverflow
35reputation
4kreached
2answers
7questions
Github Skills (12)
unit-testing10
python10
testing10
pytest8
pandas6
common-table-expression6
lubridate6
dplyr6
database6
dataframe6
numpy6
mysql6
Programming languages (4)
Github contributions (5)
awslabs/aws-config-rules
Mar 2019 - May 2019
[Node, Python, Java] Repository of sample Custom Rules for AWS Config.
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:65 commits, 3 PRs, 47 comments in 1 month
Contributions summary:Chirag primarily contributed to the testing framework of the AWS Config Rules repository. They modified existing test code and added new tests, demonstrating a focus on improving the test coverage and reliability of the rule implementations. The changes involved adjusting test scenarios and incorporating pagination tests, indicating a concern for the robustness of the rule's behavior under various conditions.
pythoncustom-rulesaws-configconfigrules
schirag1993/airflow
Jan 2022 - Mar 2022
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Contributions:38 pushes, 4 branches in 1 month
monitorapacheprogrammaticallyapache-airflowairflow
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