Romit Singhai
Staff Software Engineer, Deep Machine Learning at GE Digital
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolRomit Singhai is a Staff Software Engineer specializing in deep machine learning and cloud-scale platforms with 11 years of experience, based in San Francisco. At GE Digital he has delivered production ML solutions—ranging from CT scanner issue-code prediction and reliability measurement to turbine fault detection from gearbox vibration—and led cloud elasticity, on-cloud data platform go-lives, and security audit support. He blends hands-on model development and benchmarking with platform engineering, enabling ML at scale across enterprise products. Trained in computer science (SUNY Stony Brook) with advanced AI coursework at Stanford, he pairs academic grounding with practical deployment experience and has been recognized by GE executives for driving impactful, production-ready solutions.
11 years of coding experience
Bachelor of Engineering - BE, Bachelor of Engineering - BE at Madhav Institute of Technology and Science - MITSHigh School, High School at Christ the King CollegeMasters-CS, Masters-CS at State University of New York at Stony BrookStanford University
English, Hindi
Github Skills (21)
classifier10
lime9
keras8
tfx8
cassandra7
redis7
machine-learning7
gpu6
docker6
kafka6
pytorch6
spark6
artificial-intelligence6
scikit-learn5
tensorflow5
Programming languages (2)
Github contributions (5)
Romits/EbolaProject
Oct 2014 - Dec 2014
Contributions:91 commits in 2 months
Romits/BigDataScience
Jan 2015 - Nov 2016
Contributions:9 pushes in 1 year 11 months
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