Ricky X
Member Of Technical Staff at OpenAI
Mountain View, California, United States
Summary
🤩
Rockstar🎓
Top SchoolRicky X is a Member of Technical Staff and systems engineer with 11 years of experience building high-performance distributed systems for ML and databases, currently working on training infrastructure at OpenAI. He previously drove core Ray runtime and LLM inference performance at Anyscale—contributing to vllm and Ray internals—and has hands-on database internals experience from CMU projects like Noisepage and BusTub. Comfortable across research and production, he focuses on performance optimization, profiling, and maintainable API design, often tackling low-level bottlenecks such as KV cache management and task failure observability. Based in Mountain View, he blends academic rigor (CMU MS) with industry impact and a habit of “simply enjoying complex systems,” evidenced by sustained open-source contributions to widely used projects in the ML infra ecosystem.
11 years of coding experience
5 years of employment as a software developer
Hangzhou Foreign Language SchoolHigh School Iternational Baccalaureate Diploma Programme, High School Iternational Baccalaureate Diploma Programme at Anglo-Chinese School (Independent)Bachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at National University of SingaporeMaster of Science - MS Computer Science, Master of Science - MS Computer Science at Carnegie Mellon UniversityNDO Computer Science, NDO Computer Science at Stanford University
French, Chinese, English
Github Skills (37)
caching10
c-language10
admin10
bplustree10
back-end-development10
python10
api-design10
databases10
btree10
inference10
database-administration10
code-generation10
compiler-compiler10
mlops10
aggregations10
Programming languages (12)
Github contributions (5)
ray-project/ray
Jun 2022 - Jan 2023
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 & System Architect
Back-end Developer & System ArchitectContributions:3 releases, 1338 reviews, 135 commits in 7 months
Contributions summary:Ricky focused on refactoring the state API server's interaction with the submission client. They created a `StateApiClient` that inherits from `SubmissionClient` and refactored various listing commands into class methods, demonstrating an understanding of API design and back-end architecture. The user also implemented a feature to track down the detailed reason for each failed task, including error type and message, contributing to the system's observability. Additionally, the user has fixed and corrected the code issues in different files to make it more robust.
pythonconsistsruntimetensorflowserving
cmu-db/noisepage
Oct 2020 - Dec 2020
Self-Driving Database Management System from Carnegie Mellon University
Role in this project:Back-end Developer / Database Engineer
Back-end Developer / Database EngineerContributions:50 reviews, 5 commits, 8 PRs in 2 months
Contributions summary:Ricky contributed significantly to the database management system's distinct aggregation functionality. They focused on implementing and refining the logic for distinct aggregations, including COUNT/MAX operations, and incorporating group by terms. The user's work involved creating and modifying filters, hash table implementations, and key structures essential for efficient distinct aggregation. Their contributions included fixing bugs, optimizing code, and adding trace information to the system.
management-systemdbmsdatabase-management-systemcarnegie-mellon-universityself-driving
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