Weijie Jiang

About

Founding engineer for an AI product (“world’s first funny AI”) who designed and implemented the full-stack architecture (React/TypeScript + Node) and migrated production from Vercel to AWS. Shipped a Lambda-based image pipeline that eliminated lag/missing images and brought page load times to under a second, and has hands-on experience integrating multiple LLM providers (OpenAI, Claude, Gemini, Grok) with structured-output and self-check reliability techniques.

Experience

Education

Key Strengths

• Owned end-to-end full-stack architecture as founding engineer (React/TS + Node)
• Performance optimization: moved image resizing off-request by generating variants on upload via AWS Lambda
• Measured and delivered major UX/performance gains (page of images loads in under 1 second; reduced lag/missing images)
• Scaled infrastructure from Vercel to AWS as usage grew (~2,000 users), optimizing via Lambda cost/runtime visibility
• Designed modular APIs to improve pipeline observability and step-level performance tracking
• Early-stage startup execution: built backend architecture/infrastructure and scalable healthcare data model under pitch deadline (won competition)
• Improved maintainability/queryability via database normalization (separating images and AI captions into distinct tables)
• Built multi-provider LLM integrations and improved reliability via structured outputs and LLM self-verification