Alexey Tumanov - Assistant Professor at Georgia Institute of Technology

Alexey Tumanov

Assistant Professor at Georgia Institute of Technology

Atlanta, Georgia, United States

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Summary

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Rockstar

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Top School

Alexey Tumanov is an assistant professor at Georgia Tech who leads the Systems for Artificial Intelligence Lab, specializing in distributed machine learning systems with an emphasis on soft-real-time inference and heterogeneous resource management. With a PhD from Carnegie Mellon and a Berkeley postdoc, he brings 12+ years of experience bridging deep systems research and production-scale engineering, including internships and collaborations at Google and Microsoft. His work spans core infrastructure contributions to high-profile open-source projects like Ray—where he improved I/O and object serialization performance—and award-winning schedulers from his CMU research. Recently he has been applying systems-for-ML techniques to clinical settings, translating low-latency ML research into healthcare impact. Colleagues know him for combining rigorous theoretical insight with pragmatic, performance-oriented implementations that scale to production clusters.

11 years of coding experience

13 years of employment as a software developer

High School Diploma Applied Mathematics, High School Diploma Applied Mathematics at Ukrainian Physics and Mathematics Lyceum of Kiev University

M.Sc. Computer Science, M.Sc. Computer Science at York University

Doctor of Philosophy - PhD Computer Systems, Doctor of Philosophy - PhD Computer Systems at Carnegie Mellon University

Github Skills (15)

c1710

plasmoid10

ray10

distributed-systems10

c-language10

cprogramming-language10

c1110

io10

kde-plasma10

optimization10

networking9

concurrency9

python8

data-structure7

data-structures7

Programming languages (4)

C++HTMLJupyter NotebookPython

Github contributions (5)

ray-project/ray

Nov 2016 - Dec 2018

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Role in this project:

Back-end Developer

Contributions:1 release, 39 commits, 68 PRs in 2 years 1 month

Contributions summary:Alexey contributed to the core infrastructure of the Ray project, focusing on improving input/output operations and data handling within the plasma store. They refactored the `read_bytes` and `write_bytes` functions in the io.c file, improving efficiency and handling of I/O interruptions and partial reads/writes. Their work also included changes to plasma and photon components for object notifications and object size information. They also focused on improving the performance of object hash construction and serialization.

pythonconsistsruntimetensorflowserving

ray-project/sandbox

Feb 2018 - Mar 2018

Contributions:46 commits, 1 branch in 21 days

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