Yina Yi
I am a software engineer with experience building reliable, user-focused products across AI, frontend, backend, and mobile development.
About
I am a software engineer with experience building reliable, user-focused products across AI, frontend, backend, and mobile development. At TikTok, I built an AI-powered code review assistant, improved API reliability from 78.3% to 99.9%, and delivered scalable permission, access control, and product display systems using modern web technologies. I enjoy turning complex requirements into practical solutions that improve both engineering workflows and customer experiences.
I also bring full-stack and cross-platform experience from roles at Focus Media and Meituan, where I worked with React, React Native, Node.js, Flask, PostgreSQL, and cloud delivery tools. I care about clean architecture, testing, observability, and thoughtful collaboration, and I am always excited to learn new technologies and help teams deliver high-quality software.
- 3 years' experience
- Joined September 2026
Industry experience
- Software & Internet
- Computers & Electronics
- Media & Entertainment
- Consumer Goods
Work experience· 4 roles
Built an AI-powered code review assistant using AST-based diffing and multi-turn prompt agents, with structured results stored in a queryable backend. Improved a critical API's success rate from 78.3% to 99.9% through enhanced trace context, standardized error reporting, and Grafana/Argos observability pipelines. Delivered permission request and query modules, a config-driven form generator with RBAC and internationalization, and a shared authorization HOC. Migrated an access control platform to a monorepo and refactored its SDK with Module Federation, reducing bundle size by 38% and integration effort by 50%. Built a React and TypeScript product display system that contributed to an 18.66% increase in Gross Merchandise Volume and a 15% increase in user satisfaction.
Built full-stack features for a meditation application, including Node.js backend functions for content retrieval and session tracking and reusable React Native components for authentication and dynamic content delivery. Integrated mobile features with Flask APIs and PostgreSQL, and used Azure audio identification and synthesis services to support AI-based sleep advice. Set up CI/CD with AWS CodePipeline, saving approximately six hours of manual management work per week.
Built full-stack features for a meditation application, including Node.js backend functions for content retrieval and session tracking and reusable React Native components for authentication and dynamic content delivery. Integrated mobile functionality with Flask APIs and PostgreSQL, and used Azure audio identification and synthesis services to support AI-based sleep advice. Set up AWS CodePipeline CI/CD, saving approximately six hours of manual management work per week.
Education
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