Devansh Agarwal is a Staff Machine Learning Scientist with 11 years of experience building and deploying large-scale deep learning systems at the intersection of high-performance computing and big data. He specializes in training and fine-tuning billion-parameter models, developing agentic LLM applications, and accelerating real-world outcomes—most notably speeding clinical trials and automating tumor assessment pipelines. Comfortable from CUDA kernels to AWS infrastructure, he has shipped GPU-accelerated ETL and vision/NLP solutions that process hundreds of terabytes in real time. His background in physics and radio-astronomy informs a pragmatic approach to signal detection and scalable pipelines, having led teams that discovered fast radio bursts and deployed models at major telescopes. Colleagues rely on him to translate stakeholder needs into production-ready AI that measurably improves scientific and clinical workflows.
11 years of coding experience
7 years of employment as a software developer
Integrated BS-MS Physics, Integrated BS-MS Physics at Indian Institute of Science Education and Research, Thiruvananthapuram
Doctor of Philosophy (PhD) Physics, Doctor of Philosophy (PhD) Physics at West Virginia University
Scripts for the GBT commensal transient search survey
Contributions:22 PRs, 45 pushes, 2 branches in 1 year 7 months
surveytransientgbtsearch
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.
Request Free Trial
Devansh Agarwal - Staff Machine Learning Scientist at Tempus AI