Anirudh Subramanian
Member Of Technical Staff at Cerebras Systems
Sunnyvale, California, United States
Summary
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Rockstar🎓
Top SchoolAnirudh Subramanian is a Member of Technical Staff based in Sunnyvale with 14 years of experience building robust back-end systems for AI and distributed computing. He has driven production-grade features at Cerebras and Amazon, specializing in scalable infrastructure, load balancing, and machine learning runtime reliability. An active open-source contributor, he has improved core iterator/exception handling in dmlc-core and helped modernize documentation and APIs for heavyweight projects like MXNet and NumPy. His work blends low-level C++ robustness with developer-facing clarity—fixing parsers and exception propagation while also polishing docs and examples. Notably, he has a track record of improving developer experience in major ML ecosystems, reflecting both engineering depth and attention to usability. He holds a Master's in Computer Science from University of Florida and a BTech in ICT, pairing strong academia with practical, production-focused impact.
14 years of coding experience
8 years of employment as a software developer
Bachelor of Technology (BTech), Information and Communication Technology, Bachelor of Technology (BTech), Information and Communication Technology at Dhirubhai Ambani Institute of Information and Communication TechnologyMaster's Degree, Computer Science, Master's Degree, Computer Science at University of Florida
Stackoverflow
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Github Skills (16)
api-documentation10
machine-learning10
c-language10
deep-learning10
threaded10
exception-handling10
cprogramming-language10
data-parsing10
thread10
hyper-threading10
python10
multithreading10
dm10
documentation10
numpy10
Programming languages (9)
Github contributions (5)
apache/mxnet
May 2017 - Jun 2020
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Role in this project:
Back-end Developer & Documentation Specialist
Back-end Developer & Documentation SpecialistContributions:3 releases, 91 commits, 252 PRs in 3 years 1 month
Contributions summary:Anirudh primarily contributed to documentation updates and improvements for the `apache/mxnet` repository. They also made code changes addressing typos, API documentation, and example additions, demonstrating a focus on enhancing usability and clarity for developers. The user's contributions included deprecating existing API functions and replacing them with more current API. Additionally, the user made code changes focused on logging functionality and adding additional examples, and refactored code.
pythonschedulerdataflowmutationdata-science
dmlc/dmlc-core
Feb 2018 - Oct 2019
A common bricks library for building scalable and portable distributed machine learning.
Role in this project:Back-end Developer
Back-end DeveloperContributions:8 commits, 9 PRs, 38 comments in 1 year 7 months
Contributions summary:Anirudh made significant contributions to exception handling, specifically within the `dmlc/threadediter.h` file. They implemented features related to exception propagation, including `ThrowExceptionIfSet`, `ClearException` and support for std::exception, improving the robustness of the library. Additionally, the user fixed bugs in the CSV parser and other text parsers. Their work involved core modifications to the library's iterator and parsing logic.
scalablebricksmachine-learningportabledistributed-machine-learning
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