Subhodeep Moitra
Machine Learning at JPMorganChase
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolSubhodeep Moitra is a Machine Learning leader with a decade of experience translating deep research into production AI products across industry and finance. He has driven ML innovation at Google—working on Vizier and LLM-centered research teams—and now leads AI-powered solutions at JPMorgan Chase, focusing on cross-line customer-facing transformations in traditional finance workflows. As a founder of an AI startup and a former course instructor, he blends entrepreneurial curiosity with pedagogy and hands-on engineering. His background includes a PhD and MS in Artificial Intelligence from Carnegie Mellon, underpinning a strong foundation in probabilistic modeling and large-scale systems. Known for mentoring engineers and setting high quality standards, he excels at turning cutting-edge ML into robust, auditable systems used in real-world environments. An understated strength is his ability to navigate both deep research problems and the practical product constraints of regulated industries.
10 years of coding experience
8 years of employment as a software developer
BTech, Computer Science, BTech, Computer Science at National Institute of Technology, TiruchirappalliHigh School, Computer Science, High School, Computer Science at Bala Vidya MandirDoctor of Philosophy (PhD), Artificial Intelligence, Doctor of Philosophy (PhD), Artificial Intelligence at Carnegie Mellon University
English, Hindi, Bengali, Tamil
Stackoverflow
1reputation
0reached
1answer
0questions
Github Skills (24)
reinforcement-learning10
tensorflow10
google10
ai10
prototyping10
ml9
numeric6
coordinates5
parallel-coordinates5
plot3
machine-learning2
canvas2
visualization2
parallel2
repair2
Programming languages (3)
Github contributions (3)
google/dopamine
Aug 2018 - Feb 2019
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Contributions:5 commits in 5 months
reinforcement-learning-algorithmsfast-prototypinggooglereinforcement-learningprototyping
google-research/plur
Dec 2021 - Dec 2021
PLUR (Programming-Language Understanding and Repair) is a collection of source code datasets suitable for graph-based machine learning. We provide scripts for downloading, processing, and loading the datasets. This is done by offering a unified API and data structures for all datasets.
Contributions:1 commit, 1 comment in 1 day
downloadingapigraph-basedunderstandingdeep-learning
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