Rahul Babbar
Senior Machine Learning Engineer at Meta
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolRahul Babbar is a Machine Learning Engineer based in London with a decade of experience designing and shipping large-scale ML systems across top-tier tech and finance firms. He has built production models and research-driven solutions at Meta and Amazon, and previously applied quantitative techniques as a researcher at J.P. Morgan. Trained in computer science at IIT Roorkee, Rahul blends strong engineering discipline with quantitative rigor, moving smoothly between model development, feature engineering, and production deployment. His background spans mobile app development to high-frequency quantitative research, giving him a practical edge in end-to-end system design. Known for tackling latency-sensitive and data-intensive problems, he thrives in environments that require both experimental R&D and reliable, scalable delivery.
10 years of coding experience
7 years of employment as a software developer
Indian Institute of Technology Roorkee
Github Skills (40)
antivirus10
counter10
scheme10
jetpack-compose10
android-application10
pypi10
javascript9
unit-testing9
java9
python9
kotlin9
windows9
mvvm-architecture9
android-app9
kotlin-multiplatform9
Programming languages (8)
Github contributions (5)
mdgspace/liener
May 2016 - Mar 2018
Android app to load hyperlinks behind the curtains seamlessly
Contributions:56 commits, 3 PRs, 41 pushes in 1 year 10 months
android-app
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