David Lin
๐ ๐๐๐น๐น-๐ฆ๐๐ฎ๐ฐ๐ธ ๐๐ ๐๐ฒ๐๐ฒ๐น๐ผ๐ฝ๐ฒ๐ฟ ๐๐ต๐ผ ๐ฏ๐๐ถ๐น๐ฑ๐ ๐๐๐ ๐ฎ๐ฝ๐ฝ๐ ๐๐ต๐ฎ๐ ๐๐ต๐ถ๐ฝ ๐ฎ๐ป๐ฑ ๐๐๐ฎ๐ ๐ฟ๐ฒ๐น๐ถ๐ฎ๐ฏ๐น๐ฒ.
About
๐ ๐๐๐น๐น-๐ฆ๐๐ฎ๐ฐ๐ธ ๐๐ ๐๐ฒ๐๐ฒ๐น๐ผ๐ฝ๐ฒ๐ฟ ๐๐ต๐ผ ๐ฏ๐๐ถ๐น๐ฑ๐ ๐๐๐ ๐ฎ๐ฝ๐ฝ๐ ๐๐ต๐ฎ๐ ๐๐ต๐ถ๐ฝ ๐ฎ๐ป๐ฑ ๐๐๐ฎ๐ ๐ฟ๐ฒ๐น๐ถ๐ฎ๐ฏ๐น๐ฒ.
Based in the United States, I work across the stack: Next.js and TypeScript on the frontend, Python and Node services on the backend, and production LLM features including RAG, agents, streaming, and automation.
I take AI products from a rough idea or prototype to something users can depend on. That means clean APIs, grounded retrieval when documents matter, clear failure handling when models misbehave, and a codebase the next engineer can read without guessing.
๐ ๏ธ ๐ช๐ต๐ฎ๐ ๐ ๐๐ฎ๐ป ๐๐ผ ๐๐ผ๐ฟ ๐ฌ๐ผ๐:
โข โก ๐๐๐ ๐๐ฝ๐ฝ๐ & ๐ฅ๐๐: Design and build retrieval-augmented systems, document Q&A, and assistant features with streaming responses, evaluation hooks, and practical cost control.
โข ๐ค ๐๐ด๐ฒ๐ป๐๐ & ๐๐๐๐ผ๐บ๐ฎ๐๐ถ๐ผ๐ป: Implement tool-calling flows, multi-step workflows, and backend jobs that connect models to real APIs and data.
โข ๐ป ๐๐๐น๐น-๐ฆ๐๐ฎ๐ฐ๐ธ ๐๐ฒ๐น๐ถ๐๐ฒ๐ฟ๐: Ship Next.js frontends, typed APIs, auth, and data models so the AI layer sits inside a complete product, not a side demo.
โข ๐ ๐๐๐ฎ๐น๐๐ฎ๐๐ถ๐ผ๐ป & ๐ฅ๐ฒ๐น๐ถ๐ฎ๐ฏ๐ถ๐น๐ถ๐๐: Add basic metrics, logging, and regression checks so changes to prompts or retrieval can be judged against real behaviour.
โข โ๏ธ ๐ฃ๐ฟ๐ผ๐ฑ๐๐ฐ๐๐ถ๐ผ๐ป ๐๐ป๐ด๐ถ๐ป๐ฒ๐ฒ๐ฟ๐ถ๐ป๐ด: Deployments, environment setup, CI-friendly structure, and handoff documentation for ongoing ownership.
๐ ๐ฃ๐ฟ๐ผ๐ณ๐ฒ๐๐๐ถ๐ผ๐ป๐ฎ๐น ๐๐ฎ๐ฐ๐ธ๐ด๐ฟ๐ผ๐๐ป๐ฑ:
โข Full-stack AI delivery for startups and product teams shipping LLM features into live products.
โข Hands-on work with Next.js, TypeScript, Python, RAG pipelines, and service integration.
โข Experience moving prototypes into monitored, maintainable production paths.
๐ฌ ๐๐ฒ๐โ๐ ๐๐ผ๐ป๐ป๐ฒ๐ฐ๐: Send a short description of your product, stack, or goal. I will reply with a practical technical approach and what is needed to execute it.
๐ฏ ๐๐ฒ๐๐๐ผ๐ฟ๐ฑ๐: Full-Stack AI Developer, LLM Applications, RAG Systems, LangChain, Next.js, TypeScript, Python, FastAPI, AI Agents, Streaming AI, Vector Search, Production AI, SaaS AI Features, Document Intelligence, Prompt Engineering, REST APIs, PostgreSQL, AI Automation, Full-Stack Development, Model Integration
- 6 years' experience
- Joined October 2026
Industry experience
- Software & Internet
- Computers & Electronics
- Professional Services
Work experience
Designed and shipped RAG pipelines and LLM-powered product features. Built Next.js frontends and Python/Node backends for AI workflows. Implemented streaming responses, evaluation hooks, and practical cost controls. Delivered automation for document processing and internal assistants. Collaborated with product teams on MVP-to-production delivery.
Developed full-stack features using Next.js, TypeScript, and Python services. Supported LangChain-style RAG, assistants, and agent workflows. Improved API design, reliability, and deployment processes. Worked on authentication, data models, and multi-tenant patterns. Helped move prototypes into stable production usage.
Contributed to React and Next.js applications and backend APIs. Implemented early LLM features and third-party AI integrations. Supported core SaaS workflows, dashboards, and data services. Helped with testing, releases, and post-launch fixes. Collaborated with designers and stakeholders on delivery.
Education
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