Jackson Zheng
Software Engineer at Databricks
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolJackson Zheng is a software engineer with eight years of experience building AI-driven backend, full-stack, and infrastructure systems, currently contributing to Databricks in the San Francisco Bay Area. His background spans ML infrastructure at Tesla Autopilot, visual perception and MapNet development at NVIDIA, and research contributions to COVID‑NET, reflecting a blend of production-grade engineering and academic research. Trained in Systems Design Engineering with an AI option from the University of Waterloo, he repeatedly moves models from prototype to scalable platforms for autonomy and healthcare applications. Notably comfortable at the intersection of ML infra and systems design, he brings practical experience automating complex pipelines and deploying perception models in safety-critical contexts.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Applied Science - BASc, Systems Design Engineering, Option in Artificial Intelligence, Bachelor of Applied Science - BASc, Systems Design Engineering, Option in Artificial Intelligence at University of Waterloo
Github Skills (18)
voting9
nutrition9
multi-agent8
agent-framework8
sandbox8
ai-agent8
ai7
developer-tools7
python7
api6
llm6
codex6
claude5
web-application4
machine-learning4
Programming languages (4)
Github contributions (5)
rootly-developers/client-application
Feb 2020 - Apr 2022
React app
Contributions:1 review, 30 PRs, 48 pushes in 2 years 2 months
reactreact-hooksreactjsreact-intlreact-app
zhengwin/webifier
Jul 2019 - Sep 2019
Contributions:25 pushes, 3 branches in 2 months
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