Wendong Fan is a Founding AI Engineer and Tech Lead with 16 years of experience, currently building agentic and generative AI platforms from Shanghai. He co-created and contributes to prominent open-source projects like CAMEL and OWL and leads development at Eigent AI, specializing in multi-agent systems and Retrieval-Augmented Generation. His recent work applies RAG, LangChain and LlamaIndex to real-world enterprise problems—designing a €5M supply-chain intelligence solution and generative tools for sales, marketing, and production at BASF. Wendong blends research and product delivery, leveraging cloud-native microservices on Azure and hands-on UI work (Streamlit/Dash) to move models into production. He has a strong statistics background from University College Dublin and a track record of turning messy enterprise data into deployable ML solutions. Colleagues value him for bridging academic research in generative agents with pragmatic engineering that ships.
16 years of coding experience
1 year of employment as a software developer
Master's degree, Statistics, Master's degree, Statistics at University College Dublin
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Wendong Fan - Founding AI Engineer & Tech Lead at Eigent AI