Rahul Babbar
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 (45)
kotlin10
hilt-dependency-injection10
mvvm-architecture10
counter10
scheme10
android-application10
jetpack-compose10
unit-testing9
java9
stetho9
mvvm9
android-client9
mvp-architecture9
antivirus9
lisp9
Programming languages (8)
Github contributions (5)
mdg-iitr/liener
May 2016 - Mar 2018
Contributions:56 commits, 3 PRs, 41 pushes in 1 year 10 months
androidandroid-appkotlincurtainshyperlinks
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.