{ "$schema": "https://raw.githubusercontent.com/jsonresume/resume-schema/v1.0.0/schema.json", "basics": { "name": "Chi Lin Kuo", "label": "Blockchain & AI & Full-stack Developer", "image": "https://kcl1104.github.io/kcl.jpg", "email": "charlie011111@gmail.com", "url": "https://kcl1104.github.io/", "summary": "AI-native development — Claude Code and similar agents are my main development partner day to day. I write custom tools and skills for them, which is what shortens the loop from a requirement to a deploy.\n\nAI-agent development — I've taken agent systems from zero to one on my own: agent flow design, tool integration, multi-agent orchestration, prompt iteration, run monitoring.", "location": { "city": "Taipei", "countryCode": "TW" }, "profiles": [ { "network": "GitHub", "username": "KCL1104", "url": "https://github.com/KCL1104/" }, { "network": "LinkedIn", "username": "chi-lin-kuo-a47608209", "url": "https://www.linkedin.com/in/chi-lin-kuo-a47608209/" } ] }, "work": [ { "name": "Star Vaults", "position": "Backend Engineer", "location": "Taipei", "startDate": "2026-03", "endDate": "2026-05", "summary": "Took one complete service module from zero to one (e-commerce platform / internal tooling). Architecture and implementation — worked through the architecture decisions with one or two senior engineers, then led the implementation, API design, data model and deployment. Backend — Node.js / NestJS, Python (FastAPI / Django), PostgreSQL, Supabase, Redis, MongoDB. Frontend — built the matching interfaces in React / Next.js, keeping the data contract consistent across front and back. Process — boilerplate, unit tests and repetitive code went to Claude Code. Wrote a set of prompt templates and agent skills so that commit messages, code review and tests followed team convention." }, { "name": "Jepun International", "position": "Backend & Blockchain Engineer", "location": "Taipei", "startDate": "2025-09", "endDate": "2026-03", "summary": "Owned several services and modules in a mid-sized product line (3–5 person team, front and back). Backend — designed and built RESTful APIs in Python (FastAPI / Django) and Node.js / Express, along with the database schemas behind them (PostgreSQL, MongoDB, Supabase). Third-party integration — integrated multiple third-party APIs and SaaS services, handling cross-system data sync and error paths. AI / LLM features — built the LLM features in the product, covering agent flow design and prompt tuning. Frontend — built the matching interfaces in React / Next.js, keeping the data contract consistent across front and back. DevOps — automated CI/CD pipelines and containerized deploys." } ], "projects": [ { "name": "Extrovid", "description": "An AI-native film production system. It runs script, casting, storyboard, per-shot generation, voice and rough cut end to end, and you can talk to a director agent at any step to change something live. My work: multi-agent orchestration across 12 PydanticAI agents with outputs contracted through Pydantic schemas; a director agent carrying 8 stateful tools so the whole pipeline can be driven in plain language; a per-stage state machine so failures resolve to a single stage; LLM-as-judge review with best-of-N selection and a keyframe gate ahead of generation spend; and provider factories with USE_MOCK_* flags so 236 tests run offline.", "startDate": "2026-06", "endDate": "2026-07", "url": "https://github.com/KCL1104/extrovid", "roles": [ "Solo personal project" ], "keywords": [ "Python", "FastAPI", "PydanticAI", "SQLAlchemy 2.0 (async)", "PostgreSQL", "Next.js" ] }, { "name": "LorePack", "description": "An AI-driven collaborative story world platform. Users build persistent worlds, AI agents generate illustrated chapters, and people collaborate across universes. My work: the overall architecture and the multi-agent collaboration flow; A2A protocol integration and the inter-agent messaging layer; and the frontend interface. Engineering focus: orchestration patterns for multi-agent systems, task delegation between agents, and aggregating their results.", "startDate": "2026-02", "endDate": "2026-02", "url": "https://github.com/KCL1104/LorePack", "roles": [ "Owner / Lead Developer" ], "keywords": [ "Google ADK", "A2A protocol", "Next.js", "FastAPI" ] }, { "name": "DeepFlow", "description": "A personal project built on the idea of a \"smart defence system\": context-aware scheduling and dynamic priority filter out notification noise and protect deep work time. Frontend — Next.js (App Router) with shadcn/ui: the \"Focus Player\" and the queue visualisation. Backend — Python FastAPI, Supabase and Redis: priority queue management and multi-platform webhook intake (Slack / Jira / Gmail). Agent — Python and LangChain: signal parsing, urgency scoring, context-aware response generation. Technical highlights: a Redis sorted set (ZSET) gives O(log N) dynamic priority queueing; LangChain orchestrates the LLM calls.", "startDate": "2026-01", "endDate": "2026-01", "url": "https://github.com/KCL1104/DeepFlow", "roles": [ "Owner / Lead Developer" ], "keywords": [ "Next.js", "shadcn/ui", "FastAPI", "LangChain", "Redis", "Supabase" ] }, { "name": "PinTool", "description": "A Solana-native strategy automation platform. Creators publish on-chain strategies; subscribers pay in USDC on-chain for access. My work: backend architecture, API development and subscription verification logic; Anchor contract integration and on-chain/off-chain state sync; and working with frontend to get the integration contract right.", "startDate": "2025-10", "url": "https://pintool.fun/", "roles": [ "Backend Engineer" ], "keywords": [ "NestJS", "Supabase", "Anchor", "TypeScript" ] } ], "education": [ { "institution": "University of Taipei", "studyType": "Bachelor of Science", "area": "Computer Science", "startDate": "2021-09", "endDate": "2025-06" }, { "institution": "Independent Study", "area": "Self-Learning Blockchain Development", "startDate": "2021" }, { "institution": "Online Learning Platform", "area": "Blockchain Development Bootcamp", "startDate": "2024-06", "endDate": "2024-08" }, { "institution": "Community", "area": "Blockchain Study Group", "startDate": "2025-02", "endDate": "2025-06" } ], "awards": [ { "title": "Cypherpunk side track (hosted by Sanctum)" }, { "title": "AI FinTech Innovation & Creativity Competition: Social Group 3rd Place" }, { "title": "XueDao Hackathon: Won 3 tracks from Cathay Financial Holding, Zircuit, BGA" }, { "title": "Encode Solana Winter Build Challenge 2025: 1st place, Best Consumer App on Solana track" } ], "skills": [ { "name": "LLM / Agent", "keywords": [ "PydanticAI", "LangChain", "Google ADK", "A2A protocol", "MCP", "function calling", "LLM-as-judge", "eval harness" ] }, { "name": "Backend", "keywords": [ "Python", "FastAPI", "Django", "Node.js", "NestJS", "SQLAlchemy 2.0 (async)", "PostgreSQL", "Supabase", "Redis", "MongoDB" ] }, { "name": "Frontend", "keywords": [ "Next.js", "React", "TypeScript", "shadcn/ui" ] }, { "name": "Other", "keywords": [ "Solana", "Anchor", "Docker", "CI/CD", "S3" ] } ], "languages": [ { "language": "Chinese (Mandarin)", "fluency": "Native or Bilingual Proficiency" }, { "language": "English", "fluency": "Full Professional Proficiency" } ] }