Daniel Yang

Guangzhou City, Guangdong Province, China
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Summary

🤩
Rockstar
🎓
Top School
Daniel Yang is a seasoned technology leader and entrepreneur with three decades of hands-on experience spanning embedded chips, operating systems, enterprise software and internet products. He has repeatedly bridged deep technical craftsmanship and business leadership—moving from low-level embedded development to founding companies, scaling software engineering practices, and leading a platform that became China's most active study-abroad Q&A community. Notable strengths include product planning and design, rapid commercialization of technical products (including HTOS/HTBase and C/S metering systems), and guiding a company through corporatization and an attempted New Third Board listing. Daniel's career is distinguished by staying on the technical front lines through multiple startups, combining a pragmatic engineering mindset with sharpened commercial instincts and proven team-building skills. Based in Guangzhou, he brings rare continuity across R&D, production, sales and executive management, making him effective at turning complex technical ideas into market-ready products.
code8 years of coding experience
job5 years of employment as a software developer
book高中, 高中 at 广州市第六中学
bookMaster of Engineering, Computer Science, Master of Engineering, Computer Science at Sun Yat-Sen University
languagesEnglish, chineses, Chinese
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Github Skills (79)

python10
wireguard10
retrieval-augmented-generation10
vertex-ai10
openapi10
openai-api10
vpn10
ipsec10
softethervpn10
webui10
knowledge-graph10
llmops10
ai10
azure10
gpt10

Programming languages (6)

TypeScriptJavaShellCJavaScriptPython

Github contributions (5)

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danielaskdd/litellm

Jun 2025 - Jun 2026

Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq]
Contributions:4 PRs, 68 pushes, 16 branches in 1 year
HKUDS/LightRAG

Jan 2025 - Jul 2026

[EMNLP2025] LightRAG: Simple and Fast Retrieval-Augmented Generation
Contributions:24 releases, 61 reviews, 635 PRs in 1 year 6 months
retrieval-augmented-generationknowledge-graphlarge-language-modelsgenaigraphrag
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