Jiajun Yao
Software Engineer at SpaceXAI
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolJiajun Yao is a seasoned software engineer with 14 years of experience building distributed systems and AI infrastructure from the ground up. Based in the San Francisco Bay Area, he led and grew Ray Core at Anyscale and contributed performance- and memory-critical fixes to the high-profile open-source Ray project. At LinkedIn he architected LIquid, a distributed graph database, and he combines deep C++/systems expertise with product-focused leadership. Now at Cursor, he continues to apply his background in scalable runtimes and low-level debugging to accelerate ML workloads and developer tooling. Notably, his hands-on work spans both shipping production subsystems and mentoring teams through complex core-engine challenges.
14 years of coding experience
11 years of employment as a software developer
Bachelor's degree Computer Software Engineering, Bachelor's degree Computer Software Engineering at Nanjing UniversityMaster's degree Computer Science, Master's degree Computer Science at Carnegie Mellon University
Chinese, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (11)
c-language10
cprogramming-language10
python10
actor-model9
concurrency9
multithreading9
rpc9
distributed-systems8
fault-tolerance8
testing7
task-management7
Programming languages (10)
Github contributions (5)
ray-project/ray
Aug 2021 - Dec 2022
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
Back-end DeveloperContributions:3 releases, 4667 reviews, 242 commits in 1 year 4 months
Contributions summary:Jiajun's commits focused on implementing client-related features, including increasing timeouts in the ProxyManager, and fixing memory leaks in actor processes. The code changes involved modifying and testing core components within the Ray project's client and core worker modules. This work included updates to C++ headers and source files, specifically within the direct actor transport and task manager functionalities, suggesting the user was addressing critical, potentially performance-related issues.
aimachine-learningraydistributedparallel
ray-project/ray_beam_runner
Oct 2021 - Oct 2022
Ray-based Apache Beam runner
Contributions:11 reviews, 8 commits, 9 PRs in 11 months
apache-beam
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