Haifeng Zeng
Software Engineer at Datadog
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolHaifeng Zeng is a software engineer in Seattle with 11 years of technical experience bridging scientific research and production cloud systems, currently building observability tooling at Datadog after roles at Google and Ascend.io. He has deep expertise in large-scale data pipelines and schedulers on GCP/AWS, having engineered systems that process billions of files, automate recovery, and cut cloud costs by compressing processed data. With a Ph.D. in physical chemistry and prior research work at Johns Hopkins, he brings rigorous modeling and instrumentation skills to software problems—translating complex algorithms and firmware experience into reliable backend services. A fast learner and team leader, he has shipped gRPC/REST services and developer tools that improved customer iteration speed and operational visibility. Unusually for an engineer now focused on cloud software, he combines hands-on experimental physics pedigree with production SRE and software development experience.
11 years of coding experience
13 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Georgia Institute of TechnologyBachelor Chemistry, Bachelor Chemistry at Peking UniversityPhD Physical Chemistry, PhD Physical Chemistry at Texas A&M UniversityJohns Hopkins University
Stackoverflow
1reputation
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Github contributions (5)
zenghf/leetcode
May 2016 - Feb 2017
Contributions:28 pushes, 1 branch in 8 months
zenghf/NMRTool
May 2017 - Jun 2017
Contributions:6 commits, 5 pushes, 1 branch in 25 days
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