Qingan Z
Software Engineer II at Microsoft
Berkeley, California, United States
Summary
🤩
Rockstar🎓
Top SchoolQingan Z is a Software Engineer II based in Berkeley with eight years of experience building cloud-native, data-driven systems across Azure, GCP, and AWS. Currently on Azure Core's Service Deploy team at Microsoft, he brings a strong full-stack and MLOps background—Kubernetes, Spark, TensorFlow, CI/CD and multiple databases—honed through consulting roles at BCG Gamma and enterprise projects at Deloitte and Morgan Stanley. He has a research pedigree from Dalian University of Technology and dual master's degrees from UC Berkeley and Cornell, blending rigorous systems thinking with applied machine learning. An active open-source contributor, he improved CPU power/emissions tracking in the prominent codecarbon project by integrating py-cpuinfo and TDP-based estimation and adding tests. Comfortable with languages from Python and Go to JavaScript and C#, he excels at turning analytical models into production services that scale and meet business needs. That mix of academic rigor, consulting impact, and hands-on infrastructure work makes him particularly effective at bridging ML research and reliable cloud deployment.
8 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Systems Engineering, 3.6/4.0, Master of Science - MS, Systems Engineering, 3.6/4.0 at University of California, BerkeleyBachelor of Engineering - BE, Civil Engineering, 3.9/4.0, Bachelor of Engineering - BE, Civil Engineering, 3.9/4.0 at Dalian University of TechnologySummer School Certificate, Smart Cities, Summer School Certificate, Smart Cities at The Hong Kong Polytechnic UniversityMaster of Professional Studies - MPS, Computing and Information Sciences, 3.8/4.0, Master of Professional Studies - MPS, Computing and Information Sciences, 3.8/4.0 at Cornell UniversityHigh School Diploma, Middle School Diploma, High School Diploma, Middle School Diploma at Northeast Yucai School
English, Spanish, Chinese
Github Skills (6)
pandas10
python10
testing9
unit-test9
unit-testing9
machine-learning8
Programming languages (1)
Github contributions (5)
mlco2/codecarbon
Apr 2021 - Apr 2021
Track emissions from Compute and recommend ways to reduce their impact on the environment.
Role in this project:
ML Engineer
ML EngineerContributions:4 reviews, 22 commits, 1 PR in 8 days
Contributions summary:Qingan primarily contributed to the codebase by implementing and improving the CPU power consumption tracking functionality within the codecarbon project. Their work involved integrating the `py-cpuinfo` library for CPU model parsing, creating a data source for CPU TDP information, and incorporating this data to estimate power consumption in the constant mode. Furthermore, they added testing to validate the constant mode's emissions calculations. The user also refined the code, improving model parsing and CPU utilization estimations.
pythondata-scienceemissionscarbon-emissionsrecommend
QinganZhao/Data-Structures
Jun 2018 - Apr 2019
Contributions:26 commits, 24 pushes, 1 branch in 10 months
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