Junyan Qin
Backend Software Engineer at Dify
Guilin, Guangxi, China
Summary
🤩
Rockstar🎓
Top SchoolJunyan Qin is a founder and backend engineer based in Suzhou with six years of experience building production integrations between large language models and messaging platforms. As a core contributor to the open-source LangBot project and through roles at LangGenius and Idoknow, he architected session management, OpenAI API interactions, and database layers that enable LLM-powered bots across QQ, WeChat, Discord, Telegram, Lark and other platforms. His work emphasizes pragmatic, hands-on delivery—“thinking complicates, doing simplifies”—and includes groundwork for often-overlooked local platforms like QQ, showing both global interoperability and local-first engineering. He blends startup founding experience with deep backend craftsmanship to turn complex LLM ecosystems into reliable, extensible bot platforms.
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
English, French
Github Skills (7)
openai-api10
python10
session-management10
sqlite-39
sqlite-database9
sqlite39
sqlite9
Programming languages (15)
Github contributions (5)
RockChinQ/LangBot
Dec 2022 - Mar 2023
😎丰富生态、🧩支持扩展、🦄多模态 - 大模型原生即时通信机器人平台 🤖 | 适配 QQ / QQ频道 / OneBot / Discord / 企业微信（wecom）/ 飞书（lark feishu） 等多种消息平台 | 支持 OpenAI GPT、ChatGPT、DeepSeek、Dify、Claude、Gemini、Ollama、LM Studio、Gitee AI、SiliconFlow、Qwen、Moonshot、ChatGLM、xAI 等 LLM 的机器人 / Agent 平台
Role in this project:
Back-end Developer
Back-end DeveloperContributions:106 releases, 70 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.
miraibotqqbotopenaichatbot
the-lazy-me/Langbot-Wiki
Oct 2023 - Apr 2025
Langbot 官方文档
Contributions:4 reviews, 30 PRs, 202 pushes in 1 year 6 months
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