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Haiyang Zhang

Senior Full-Stack Engineer specializing in healthcare and enterprise workflow platforms

Lavita AISyracuse UniversitySan Diego, CA8 Years ExperienceSenior LevelWorks Remote

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About

Front-end engineer focused on sophisticated, high-stakes enterprise UIs in privacy computing and healthcare-related products. They combine deep browser-performance knowledge with TypeScript/React architecture, and can point to concrete impact like zero critical UI bugs, 40% faster configuration flows, and nearly 90% fewer configuration-related failures.

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Key Strengths

  • Owned complex browser UI for privacy computing and federated learning workflows
  • Strong front-end performance optimization at browser rendering level
  • Built shared design systems and reusable component architecture
  • Reduced duplicated implementation by 30-40%
  • Eliminated critical UI bugs in production with Cypress and Playwright regression coverage
  • Improved workflow completion and user engagement for complex enterprise configurations
  • Cut drag-and-drop layout shifts by 50%
  • Improved expert-user efficiency with keyboard-centric interactions
  • Reduced model configuration time by 40%
  • Decreased configuration-related job failures by nearly 90%
  • Applies TypeScript and functional patterns to keep complex UI state predictable and testable
  • Experience across regulated and complex domains including privacy/compliance and healthcare

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Experience

Senior Frontend / Full-Stack Engineer and Early Engineering HireLavita AI · Sep 2018 – Present
Frontend Engineer and Workflow Platform DeveloperLavita AI · Sep 2018 – Present

Education

Syracuse Universitymaster, Computer and Information Science (2018)
Beijing University of Technologybachelor, Internet of Things (2016)

Skills

JavaScriptTypeScriptPythonSQLNext.jsReact NativeVue.jsNode.jsFastAPIREST APIsGraphQLPostgreSQLWebpackViteJest

Languages

English

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Typically responds within 24 hours

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Haiyang ZhangSenior Full-Stack Engineer specializing in healthcare and enterprise workflow platforms