Zhaohui Li
Sr. Manager, Software Development at Amazon
State College, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolZhaohui Li is a seasoned software leader with over a decade of experience building large-scale, AWS-native fulfillment and supply chain platforms at Amazon, currently leading Sr. Manager, Software Development for FBA reimbursement and Direct Fulfillment systems. He has a strong track record of managing engineering teams that deliver highly scalable, defect-detection and correction systems serving hundreds of thousands of sellers globally, and he actively recruits technical program managers, SDEs and applied scientists. Earlier experience spans real-time market data systems at Thomson Reuters and long-tenured engineering management, giving him deep expertise in low-latency, mission-critical architectures. He also contributes backend development to open-source ML tooling—such as EasyML—focusing on database and job-service integrations, reflecting a pragmatic blend of research-oriented training (NTU, Xi’an Jiaotong) and production-grade engineering.
10 years of coding experience
19 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Xi'an Jiaotong UniversityMaster, Computer Engineering, Master, Computer Engineering at Nanyang Technological University Singapore
Github Skills (8)
javas10
databases10
database-api10
gwt10
java10
database10
rpc9
machine-learning7
Programming languages (2)
Github contributions (5)
ICT-BDA/EasyML
Apr 2017 - May 2017
Easy Machine Learning is a general-purpose dataflow-based system for easing the process of applying machine learning algorithms to real world tasks.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:27 commits, 15 comments, 1 issue in 1 month
Contributions summary:Zhaohui appears to have focused on backend development, specifically contributing to core database interactions and related services. The commits reveal changes to the database controller, including the implementation of methods for submitting and updating program and dataset information. Further, the user modified job service functionalities, indicating contributions to job management and potentially workflow orchestration within the EasyML system. The commit messages demonstrate involvement in naming and refactoring operations.
machine-learning-platformpythonlearning-platformdata-sciencemachine-learning-algorithms
nkzhlee/ASAG
Dec 2020 - Mar 2024
Contributions:2 PRs, 7 pushes, 4 branches in 3 years 3 months
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