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@patrickzhang
I am a senior software engineer integrating AI into full-stack web systems.
I am a Senior Software Engineer with 10 years of experience building high-impact products across AI startups, Big Tech, and enterprise platforms. I specialize in designing and delivering full stack applications with React, Next.js, Node.js, and AWS.
I have led integration of LLMs and AI agents into real-time web systems, shipping features such as LAM-powered assistants, action orchestration, and streaming voice interfaces for consumer and internal tools. My recent work includes building Rabbit OS infrastructure and driving frontend/cloud integrations at AWS.
I focus on user-centric design, performance, reliability, and AI explainability, and I enjoy mentoring engineers, improving CI/CD practices, and iterating rapidly from prototype to production in cross-functional teams.
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Work history, roles, and key accomplishments
Rabbit Inc.
Mar 2024 - Jun 2025 (1 year 3 months)
Built and maintained full‑stack infrastructure for Rabbit OS, integrating LAM-powered agents with browser automation and voice streaming to execute multi-step workflows across web apps. Implemented Playwright automation and CI/CD pipelines to validate, secure, and deploy AI-agent flows in a hardware‑software product loop.
Amazon Web Services
Mar 2022 - Feb 2024 (1 year 11 months)
Led frontend development of internal cloud orchestration dashboards, integrating SageMaker and AppSync to train, deploy, and monitor ML models and visualize real-time telemetry. Built backend Lambda/AppSync services and secure Cognito/IAM flows to enable live feedback and model lifecycle orchestration for internal teams.
Meta
Jun 2017 - Feb 2022 (4 years 8 months)
Built and scaled real-time messaging UIs for Messenger and Workplace using React and WebSockets, integrating AI features like smart reply and message classification for products used by billions. Migrated core frontend to React Hooks, improved performance and accessibility, and mentored engineers on safe AI interactions and A/B testing.
ArcTouch
Oct 2015 - May 2017 (1 year 7 months)
Delivered client-facing web and mobile apps using React, React Native, and Node.js for enterprise clients (NBC, Audi, 3M), integrating third-party AI services for chat, voice, and vision features. Created reusable component libraries, backend Express services, and automated tests to accelerate delivery and reduce QA cycles.
Degrees, certifications, and relevant coursework
Bachelor of Science, Computer Science
2011 - 2015
Grade: 3.85
Completed a Bachelor of Science in Computer Science at the University of Washington from 2011 to 2015 with a 3.85 GPA.
Software and tools used professionally
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