Dhyey Shah
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolDhyey Shah is a software engineer focused on distributed systems, currently working on training runtime infrastructure for pre-training and RL at OpenAI. With four years of experience across startups and Wall Street, he has honed low-latency C++ systems at Bloomberg and built Ray-core features at Anyscale, pairing systems-level rigor with ML infrastructure empathy. Comfortable in Rust and C++, he gravitates toward reliability and performance challenges in large-scale ML workloads and pub/sub architectures. Based in San Francisco and a Georgia Tech CS graduate, he brings a practical, get-things-done mindset—often translating researchy ML needs into production-safe distributed primitives.
4 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Georgia Institute of TechnologyHigh School Diploma, High School Diploma at Montverde Academy
English
Github Skills (26)
pytorch10
parallel10
modular10
python10
rllib10
data-science10
llvm10
machine-learning10
large-language-models10
apache10
reinforcement-learning10
java10
scaling10
llm-inference10
llm10
Programming languages (6)
Github contributions (5)
dayshah/ray
Sep 2024 - Apr 2025
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Contributions:593 pushes, 204 branches, 4 tags in 6 months
dayshah/dayshah
Sep 2022 - Oct 2024
Contributions:35 pushes, 1 branch in 2 years 1 month
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