Guowei Jiang
Software Development Engineer II at TikTok
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolGuowei Jiang is a Software Development Engineer II with nine years of experience building high-throughput, GPU-accelerated AI services and cloud-native infrastructure. At TikTok he led the engineering design for AI-Manga, sustaining peaks above 20,000 QPS, optimized TensorRT-based inference to boost generation performance 1.6x on select GPUs, and saved 150+ GPU instances by reengineering legacy inference with a cross-language C++/Python library. He designs Kubernetes GPU service frameworks (Ivory) that handle scheduling, monitoring, and service lifecycle orchestration, and has driven microservice migrations to achieve 99.99% availability at thousands of QPS. A contributor to Apache Flink core components, he blends systems-level C++/CUDA work with Python-driven ML deployment, and is augmenting that foundation with a CMU master’s in Computer Systems Networking and Telecommunications. Now based in the Bay Area, he is seeking new opportunities in late 2024 to apply his expertise in scalable ML systems and production GPU engineering.
9 years of coding experience
Bachelor's degree, Computer Science, GPA: 3.85/4.0, Bachelor's degree, Computer Science, GPA: 3.85/4.0 at Huazhong University of Science and TechnologyMaster's degree, Computer Systems Networking and Telecommunications, Master's degree, Computer Systems Networking and Telecommunications at Carnegie Mellon University
Stackoverflow
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Github Skills (8)
javas10
apache-flink10
java10
testing9
kafka9
big-data8
sql7
scala7
Programming languages (3)
Github contributions (5)
apache/flink
Apr 2017 - Jul 2021
Apache Flink
Role in this project:
Back-end Developer
Back-end DeveloperContributions:70 reviews, 51 commits, 58 PRs in 4 years 3 months
Contributions summary:Guowei primarily worked on adding and modifying core components within the Apache Flink codebase. Their commits involved adding new operations and tests for topology modifications. The user's contributions also included fixing type extraction issues and addressing concurrency issues in Kafka producers. These modifications and additions indicate a focus on enhancing the functionality, reliability, and stability of Flink's internal mechanisms.
pythonflinkconnectorsqlapache
guoweiM/flink
Mar 2017 - Jul 2021
Mirror of Apache Flink
Contributions:4 PRs, 261 pushes, 146 branches in 4 years 4 months
flinkapachebig-datadatastreamapache-flink
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