Zhewen聽Zhang
Expert Product Manager - AI at ByteDance
San Jose, California, United States
Summary
馃ぉ
Rockstar馃帗
Top SchoolZhewen Zhang is an AI-focused product leader with 10 years of experience building machine learning platforms and commercial AI products, now leading LLM prompt optimization at ByteDance. He has taken PaaS and SaaS offerings from concept to market鈥攄riving an ML platform at Tencent to $20M annual revenue鈥攁nd blends deep technical fluency with product and business strategy. His background includes early-stage NLP work that led to an Alibaba acquisition and hands-on contributions to large-scale ML infrastructure (e.g., back-end and DevOps improvements to the Angel parameter server/spark-on-angel). Based in San Jose and trained at the University of Minnesota Carlson School of Management, he moves fluidly between engineering, cross-functional program leadership, and customer-facing solution design.
9 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Master of Science - MS at University of Minnesota - Carlson School of Management
Github Skills (8)
machine-learning10
spark10
scala10
model-optimization9
devops9
buildr9
javas8
java8
Programming languages (5)
Github contributions (5)
Angel-ML/angel
Jun 2017 - Jun 2018
A Flexible and Powerful Parameter Server for large-scale machine learning
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:59 commits, 53 pushes, 37 comments in 11 months
Contributions summary:Zhewen primarily worked on back-end related tasks, fixing bugs and refactoring code within the core framework, specifically in the `spark-on-angel` module. They made several changes to the `spark-on-angel-env.sh` script, indicating involvement in the deployment and environment setup. The user also focused on improving the code structure, including renaming functions and optimizing executor performance. Additionally, they added examples and optimized the pool capacity, as well as fixing a pull/push bug, which points to expertise in the project's distributed architecture and internal workings.
parameter-serverdeep-learningmodelmachine-learningonline-learning
ZunwenYou/spark
Aug 2016 - Mar 2017
Mirror of Apache Spark
Contributions:4 pushes, 9 branches in 7 months
spark-mlapachebig-datasparkscala
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