Rashish Tandon
VP, Research Infra at Hume AI
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolRashish Tandon is a research-driven machine learning engineer and infrastructure leader with eight years of industry experience, currently serving as VP of Research Infra at Hume AI. He built large-scale ML training platforms at Apple across multiple senior engineering roles and transitioned into leadership at Hume to operationalize research systems. Rashish holds a PhD from UT Austin where his work in distributed, structured, and high-dimensional optimization under Alex Dimakis and Pradeep Ravikumar seeded his approach to scalable ML systems. Based in Seattle, he combines deep theoretical training with hands-on platform engineering, often focusing on the intersection of algorithmic rigor and production reliability. An academic-turned-practitioner, he maintains an active publication record and a personal site documenting his research and tools.
8 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at The University of Texas at AustinIndian Institute of Technology Kanpur
Github Skills (8)
aws8
terraform7
bayesian6
terraform-provider6
optimization5
machine-learning4
terraform-module4
pytorch3
Programming languages (3)
Github contributions (5)
rashisht1/rashisht1.github.io
Jan 2018 - Nov 2020
Contributions:11 pushes, 1 branch in 2 years 10 months
rashisht1/gradient_coding
Jul 2017 - Oct 2017
Contributions:15 commits, 14 pushes, 1 branch in 2 months
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