Hank Yu
Hi, I’m Hank Yu, a software engineer specializing in building AI agent, platform and SDKs.
About
Hi, I’m Hank Yu, a software engineer specializing in building AI agent, platform and SDKs. I enjoy turning complex ideas into clean, production-ready solutions and collaborating closely with product and design teams to deliver real value.
I previously worked as a software engineer at Appier, Intel, and Corning, where I contributed to production systems, deployment workflows, and reliability improvements. I value clear ownership, thoughtful system design, and writing maintainable code.
I’m looking to collaborate on meaningful projects where I can contribute my experience and continue growing as a backend or fullstack engineer.
- 4 years' experience
- Joined January 2026
Skills· 17
Languages
- ChineseFluent
- EnglishAdvanced
Industry experience
- Software & Internet
- Media & Entertainment
- Computers & Electronics
Work experience· 4 roles
Developed the core Web SDK architecture and managed the full-stack SDK lifecycle, including feature development, performance tuning, CI/CD workflows, and cross-product integrations. Improved tracking accuracy by 30% and reduced release execution time by 80% through CI/CD automation and robust production releases. Integrated AI Agent for ticket auto-creation, PR review, and issue monitoring to streamline incident triage and production stability. Designed and implemented a contract-based automated testing framework validating API contracts, payload schemas, and event consistency across browsers and hybrid WebView environments. Contributed to implementing Privacy Sandbox APIs in partnership with Google.
Built a Retrieval-Augmented Generation (RAG) based troubleshooting platform to retrieve historical production issues, enabling faster diagnosis and real-time factory operations. Developed log parsing and normalization pipelines using NLP techniques, improving issue matching accuracy by 60%.
Developed test automation tools for GPU and laptop teams, improving validation efficiency by 35%. Utilized Docker, Jenkins and Python with Shell Script to automate system verification and stress testing.
Education
Certifications and awards
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