Arav Agarwal
Machine Learning Infrastructure Engineer at MLCommons
Rochester, Michigan, United States
Summary
👤
Senior🎓
Top SchoolArav Agarwal is a Machine Learning Infrastructure Engineer with nine years of experience building cloud-native ML systems and teaching applied AI at scale. He led multiple teams at Carnegie Mellon to produce LLM-enabled content generation tools and authored courses on cloud-native LLM inference used by U.S. Army students and government analysts. Arav combines hands-on infrastructure work—OAuth, KrakenD, Nginx, KNative, gRPC streaming—with research productivity that contributed to 10+ publications and 400+ citations. His background spans end-to-end ML tooling from automated molecular ML training pipelines that doubled developer productivity to production-focused inference stacks. Based in Rochester, MI, he bridges academic rigor from CMU and UM engineering with pragmatic engineering at MLCommons, and maintains a secondary GitHub presence for experimental projects.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Engineering - BE, Dual Major in Computer Science and Data Science, Bachelor of Engineering - BE, Dual Major in Computer Science and Data Science at University of Michigan College of EngineeringMaster of Computational Data Science - MCDS, Computational Data Science, Master of Computational Data Science - MCDS, Computational Data Science at Carnegie Mellon UniversityProgramming languages (2)
Github contributions (5)
Arav-Agarwal/hourglass-AravBranch
Sep 2016 - Sep 2016
Contributions:4 PRs, 10 pushes in 11 days
Arav-Agarwal/rlemon
Aug 2020 - Sep 2020
Contributions:10 pushes in 1 month
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