Junyan Qin
Backend Software Engineer at Dify
Guilin, Guangxi, China
Summary
🤩
Rockstar🎓
Top SchoolJunyan Qin is a backend software engineer with seven years of experience focused on building scalable LLM-powered applications and messaging bot platforms. Currently at Dify, he contributes to ecosystem products and previously developed LLM integrations, session management, and database layers for the multi-platform LangBot project that bridges major chat services like WeChat, QQ, Discord, and Telegram. His background includes QA and platform migration work at Baidu, where he combined scripting and LLMs to automate pipeline analysis and migrate dozens of test pipelines, and he has shipped a ChatGPT plugin (TanPilot) to enable web search from LLMs. Based in Guilin, China, Junyan favors pragmatic engineering—“doing simplifies”—and often focuses on the infrastructure glue that turns experimental LLM capabilities into reliable, production-ready services.
7 years of coding experience
1 year of employment as a software developer
Bachelor of Engineering - BE, Computer Science, Bachelor of Engineering - BE, Computer Science at Tianjin University of Technology
Chinese, 法语
Github Skills (5)
openai-api10
python10
session-management10
sqlite-database9
sqlite9
Programming languages (19)
Github contributions (5)
langbot-app/LangBot
Dec 2022 - Mar 2023
Production-grade platform for building agentic IM bots - 生产级多平台智能机器人开发平台/ Agent、知识库编排、插件系统 / Bots for Discord / Slack / LINE / Telegram / WeChat(企业微信, 企微智能机器人, 公众号) / 飞书 / 钉钉 / QQ / Matrix e.g. Integrated with ChatGPT(GPT), DeepSeek, Dify, n8n, Langflow, Coze, Claude, Gemini, GLM, Ollama, SiliconFlow, Moonshot, openclaw / hermes agent, deerflow
Role in this project:
Back-end Developer
Back-end DeveloperContributions:140 releases, 127 reviews, 541 commits in 3 months
Contributions summary:Junyan primarily contributed to the foundational architecture and core functionality of the `langbot` project. Their work involved implementing essential components related to OpenAI API interaction, including session management and interaction with the OpenAI manager. The user also focused on setting up the database manager and establishing the basic structure for QQ bot message processing, laying the groundwork for integrating the language model with the QQ platform.
agenticclaudediscordn8nollama
RockChinQ/CommonPreprocess
Jul 2023 - Jan 2025
LangBot 插件，提供通用的prompt预处理策略，如：嵌入当前时间、模型名称等
Contributions:1 review, 1 PR, 3 pushes in 1 year 6 months
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