Amey Agrawal is a PhD student and Graduate Research Assistant at Georgia Tech focused on the intersection of machine learning and systems, with a decade of industry and research experience. He has repeatedly partnered with Microsoft on research internships and production work, building efficient LLM serving and long-context inference systems and contributing to GPU time-sharing infrastructure at planet scale. Prior to grad school he delivered high-impact systems at Qubole—accelerating log parsing 39x, integrating MLflow, and redesigning proxy layers to dramatically cut UI load times. Comfortable across the stack, he blends low-level systems engineering with ML-aware orchestration to make inference and data pipelines both faster and more robust. Based in Atlanta, he combines academic rigor with production-minded shipping, and has a pattern of turning research ideas into tools used at scale. An early win worth noting: he shipped an Electron-based grading tool as a TA, signaling a practical bent for tooling and reproducible workflows.
10 years of coding experience
4 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Georgia Institute of Technology
Contributions:14 commits, 7 pushes, 1 comment in 2 years 4 months
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.