Jason Tao
Member Of Technical Staff at Cartesia
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolJason Tao is a pragmatic software engineer with 12 years of experience building data-intensive and infrastructure platforms across startups and enterprise environments in the Bay Area. He’s worked on supply chain optimization and large-scale data pipelines at Palantir, platform and GenAI infrastructure at Scale AI, and now contributes to Cartesia’s technical stack, bringing production experience with PySpark, TypeScript, and backend systems. Jason is comfortable across the full stack and has a knack for turning analytic insights into operational systems that move millions in inventory and save substantial costs. He also contributes to open-source tooling, extending a multi-language code complexity analyzer with a Python-based dependency counter and robust test coverage. Trained in EECS and business at UC Berkeley with cross-disciplinary management and technology studies, he blends technical depth with product and strategy sensibilities. Colleagues rely on him for practical solutions that bridge data engineering, platform reliability, and developer ergonomics.
12 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Electrical Engineering and Computer Sciences, Bachelor of Science - BS, Electrical Engineering and Computer Sciences at UC Berkeley Electrical Engineering & Computer Sciences (EECS)Bachelor of Science - BS, Business Administration, Bachelor of Science - BS, Business Administration at University of California, Berkeley, Haas School of BusinessM&TSI, Management and Technology, M&TSI, Management and Technology at University of Pennsylvania
Github Skills (4)
code-analysis10
develop10
python10
testing9
Programming languages (6)
Github contributions (5)
terryyin/lizard
Apr 2014 - Apr 2014
A simple code complexity analyser without caring about the C/C++ header files or Java imports, supports most of the popular languages.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:6 commits, 1 issue in 7 days
Contributions summary:Jason primarily focused on extending the functionality of the code complexity analyzer, particularly by implementing a dependency counter. They developed a Python-based extension to identify and count dependencies within the code, supporting various import and include statements across languages. The user added features for handling different dependency types, including python's "import as" feature, and addressed pylint issues. This involved modifying code and adding test cases to validate the dependency counting logic.
code-complexitycppheader-filesjava
jxieeducation/Quick-Data-Science-Experiments-2017
Oct 2016 - Dec 2017
Quick-Data-Science-Experiments
Contributions:268 commits, 244 pushes, 1 branch in 1 year 1 month
data-sciencemachine-learningstatlogistic-regressiondecision-tree
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