Zhang Jun
Summary
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SeniorJun Zhang is a veteran machine learning leader with two decades of experience building production-grade fraud, digital identity, and cybersecurity analytics at companies from FICO and Netflix to LexisNexis and Traceable. He combines deep research credentials (PhD-level work in ontology-aware learning and distributed algorithms) with hands-on delivery of large-scale modeling platforms, real-time risk scoring, and model governance used by enterprise customers. Known for inventing core identity scoring algorithms (LexID Digital) and pioneering streaming behavioral and GNN/LLM applications for fraud detection, he excels at translating cutting-edge research into customer-facing products. Based in the San Francisco Bay Area, Jun has repeatedly built and scaled high-impact ML teams and platform architectures that prioritize observability, lifecycle management, and continuous improvement. A pragmatic innovator, he pairs publication-quality research with a "just do it" ethos to ship reliable, auditable models in high-stakes environments.
9 years of coding experience
Github Skills (63)
ios10
windows10
cross-platform10
desktop10
android10
viewpager10
macos10
flutter10
slide9
web-framework9
animation9
uipageviewcontroller9
menu9
mobile9
material-design9
Programming languages (4)
Github contributions (5)
coderJohnZhang/flutter_tv
Jan 2018 - Apr 2019
Contributions:25 commits, 23 pushes, 1 branch in 1 year 3 months
coderJohnZhang/weex-app
Sep 2018 - Dec 2018
Contributions:8 commits, 4 pushes, 1 branch in 2 months
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