Yifei Chen

Spearheaded the frontend development of the Meta AI App integrating Llama 3.2 using React and TypeScript, delivering real-time multimodal AI interactions to over 400 million users. Engineered a streaming chat interface with intelligent message rendering and photo/audio support achieving a 98% Lighthouse performance score. Introduced image editing features using WebGL and Canvas APIs, increasing engagement on visual tasks by 34%. Connected Node.js backend services to Meta's model APIs with batch routing and retry strategies reducing latency by 22%. Designed fallback workflows and optimistic UI for voice-to-text responses. Maintained 91% unit test coverage and caught 89% of regressions pre-production. Collaborated with AI infrastructure teams to deploy services via Kubernetes ensuring 99.98% uptime. Applied in-browser Vision Transformer filters for PII redaction compliant with GDPR/CCPA. Provided product feedback and debugging support across Horizon SDK, PyTorch inference API, and Meta D

Led the frontend development for the Meta AI App integrating Llama 3.2, delivering real-time multimodal AI interactions to over 400 million users. Developed a streaming chat interface with intelligent message rendering and multimedia support, achieving a 98% Lighthouse performance score. Introduced image editing capabilities using WebGL and Canvas APIs powered by natural language commands, increasing engagement by 34%. Connected Node.js backend services to Meta’s AI model APIs with optimized batch routing, reducing latency by 22%. Designed fallback and optimistic UI workflows for voice-to-text responses. Maintained 91% test coverage and collaborated with AI infrastructure teams to ensure 99.98% uptime. Implemented PII redaction features complying with GDPR/CCPA. Provided product feedback and debugging for internal toolchains and presented new interaction flows at a company-wide AI summit.

Led frontend development of the Meta AI App using React and TypeScript, delivering real-time multimodal AI interactions to over 400 million users. Developed streaming chat interfaces with photo and audio support, achieving high performance scores. Implemented image editing features powered by Llama 3.2, boosting user engagement. Connected backend Node.js services to AI model APIs with batch routing, reducing latency. Designed UI for voice-to-text responses and set up comprehensive testing harnesses maintaining strong test coverage. Collaborated with AI infrastructure teams to deploy services via Kubernetes ensuring high uptime and compliance with GDPR/CCPA through PII redaction in images. Provided cross-toolchain product feedback and participated in company-wide AI summits presenting new interaction flows.