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Weijie Jiang
Junior Software Engineer specializing in cloud infrastructure and full-stack systems
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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.
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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
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