Rahul Agarwal
Machine Learning Engineer at Meta
Redmond, Washington, United States
Summary
👤
Senior🎓
Top SchoolRahul Agarwal is a Machine Learning Engineer based in Redmond with 10 years of experience bridging rigorous academic research and industry-scale ML at Meta and Amazon. He holds a PhD and MS from Johns Hopkins in Biomedical Engineering, where he developed novel nonparametric estimators and real-time neural decoding methods that produced dramatic gains in speed and accuracy. At Abbott and through multiple internships (including MIT and Boston Scientific) he translated biophysical modeling and big-data analysis into patents and clinically relevant discoveries, such as a DBS waveform that cut power consumption by 90%. Today he focuses on multimodal LLM research, applying deep theoretical tools from control, optimization and probability to practical ML systems. Colleagues know him for combining mathematical depth with production-driven engineering, able to move from proofs to scalable code. He brings a rare mix of neuroscience insight and large-scale ML experience to problems at the intersection of learning, signals, and systems.
10 years of coding experience
13 years of employment as a software developer
Indian Institute of Technology KanpurJohns Hopkins University
English, Hindi
Github Skills (13)
bioconductor8
peak-detection7
mass-spectrometry6
matching6
feature-detection5
ms-data4
bioinformatics4
r4
git-repository3
data-analysis2
navbar1
sourceforge1
datasets1
Programming languages (1)
Github contributions (5)
raagbtitl/bio_genomics
Sep 2016 - Oct 2018
Contributions:20 commits, 19 pushes, 1 branch in 2 years 1 month
raagbtitl/newproject
Oct 2016 - Oct 2016
Contributions:4 PRs, 26 pushes, 7 branches in 1 day
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.