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🤖 Now mainly working on AI application development: LLM Agents, RAG, Multi-Agent orchestration, MCP tooling
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🛠️ Daily drivers: Claude Code / Claude Agent SDK, MCP, LangChain, Spring AI
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🌱 Currently learning: Agent architecture, Context Engineering, model fine-tuning & inference optimization
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💼 Long-time backend engineer (Java / Spring microservices, search & data platforms) — bringing those chops into AI apps
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📫 How to reach me sharkchili.su@gmail.com
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claude-update
claude-update PublicRun `claude update` and read what actually changed — per-version pager, prerelease-aware, with the CHANGELOG fetched in parallel.
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ai-agent-engineer-handbook
ai-agent-engineer-handbook PublicAI Agent / LLM 应用工程师面试与学习手册:四层工程深度长文(Prompt → Context → Agent → Harness)+ 求职实战(中外大厂真实 JD 拆解 + 86 道高质量面试题与答案)
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dark-tech-style
dark-tech-style PublicDark tech-style design system for Claude Code / Claude.ai — turns one-line requests into consistent dark-themed architecture pages, dashboards, and technical landings.
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llm-finetune-study
llm-finetune-study PublicHands-on local LLM fine-tuning course (SFT / LoRA / PEFT / DPO / QLoRA) with a browser studio that visualizes loss, tensors, and adapter diffs.
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