Guohao Li
Founder at Eigent AI
United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolGuohao Li is a founder and machine-learning engineer with nine years of experience building open-source AI infrastructure and enterprise multi-agent systems from the U.K. He leads CAMEL-AI.org and Eigent AI, focusing on scalable multi-agent frameworks and workforce automation while bridging research and production. His research pedigree includes a PhD from KAUST, postdoctoral work at Oxford, and internships with leaders like Jure Leskovec and Vladlen Koltun, reflecting deep expertise in graph neural networks and AutoML. As a core contributor to PyTorch Geometric and DeepGCNs, he has implemented foundational layers (e.g., GENConv/GenMessagePassing) and integrated rigorous tests for widely used GNN tooling. Guohao’s work marries low-level model engineering with architecture-level thinking—he not only codes core agent logic for CAMEL but also shapes system messages and agent behavior design. He brings a rare combination of academic rigor and entrepreneurial drive, building community-focused open-source projects that explore both the capabilities and risks of future AI societies.
9 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at KAUST (King Abdullah University of Science and Technology)Master's degree Autonomous Driving, Master's degree Autonomous Driving at University of Chinese Academy of SciencesJoint Master Computer Science, Joint Master Computer Science at ShanghaiTech UniversityBachelor of Engineering - BE, Bachelor of Engineering - BE at Harbin Institute of Technology
Github Skills (17)
pytorch10
python10
api-design10
machine-learning10
lm10
large-language-models10
object-oriented-programming10
llm10
agent10
deep-learning10
openai10
pytorch-geometric10
graph-neural-network10
graph-convolutional-networks10
point-cloud10
Programming languages (3)
Github contributions (5)
camel-ai/camel
Mar 2023 - Apr 2025
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 release, 447 reviews, 175 PRs in 2 years
Contributions summary:Guohao implemented and modified core functionalities within the `camel` directory, including the configuration and core logic for the `ChatAgent`. Their commits reflect a focus on defining and managing system messages, agent behavior, and tool agent structures. The user's work involved direct modifications to the underlying code structure, suggesting a deep involvement in the project's fundamental architecture and logic. They implemented critical changes and improved existing code by including new functionalities.
agentai-societiesartificial-intelligencecommunicative-aicooperative-ai
lightaime/deep_gcns_torch
Jul 2019 - Jul 2022
Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org
Role in this project:ML Engineer
ML EngineerContributions:2 reviews, 152 commits, 40 PRs in 3 years
Contributions summary:Guohao primarily focused on modifying and improving the environment setup and dependencies for the DeepGCNs project, specifically updating the required PyTorch version. They also added code and made modifications to the utility functions related to data processing and graph neural network operations, like extracting node features. Furthermore, the user integrated and modified experiments related to the OGBN-proteins dataset and simplified node feature extraction, indicating involvement in model training, dataset handling, and overall experimentation.
cheminformaticspytorchsocial-networkarxiviccv
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