Xukun Liu
Co-Founder & Chief Artificial Intelligence Researcher at Syntropix
San Jose, California, United States
Summary
🤩
Rockstar🎓
Top SchoolXukun Liu is a co-founder and AI researcher with five years of hands-on experience building scalable AI systems and developer tools from San Jose. He co-founded Syntropix to commercialize an AI-native operating system that automates complex industrial workflows, and previously served as CTO at a stealth startup while contributing as an AI developer to the high-profile CAMEL multi-agent framework. His back-end work on CAMEL focused on tool-calling, Docker runtimes, and runtime APIs—practical contributions that improved how multi-agent tools are executed and integrated. With a software engineering stint at Huawei and ongoing graduate work at Northwestern after a BASc in Computer Science from SUSTech, he blends academic rigor with production engineering. Colleagues describe him as an engineer who moves quickly from prototype to reliable runtime integrations, often surfacing operational gaps others miss.
5 years of coding experience
1 year of employment as a software developer
Northwestern UniversityBachelor of Applied Science - BASc Computer Science, Bachelor of Applied Science - BASc Computer Science at Southern University of Science and Technology
Github Skills (11)
docker10
python10
dockers10
apidoc9
api9
agent8
multi-agent8
multiagent-systems8
large-language-models5
deep-learning5
deeplearning-ai5
Programming languages (6)
Github contributions (5)
camel-ai/camel
Oct 2024 - Feb 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:26 reviews, 10 PRs, 75 pushes in 3 months
Contributions summary:Xukun contributed to the implementation of tool calling functionalities within the CAMEL framework, including runtime environments. They were involved in adding a Docker runtime, creating a new API and supporting features, and fixing issues in pipelines. The contributions demonstrate a focus on expanding the capabilities and improving the operational aspects of the CAMEL framework, particularly concerning how tools are executed and managed. The user worked on the integration of various components within the system.
agentai-societiesartificial-intelligencecommunicative-aicooperative-ai
syntropix-ai/synthora
Nov 2024 - Feb 2025
Synthora is a lightweight and extensible framework for LLM-driven Agents and ALM research. It provides essential components to build, test and evaluate agents. At its core, Synthora aims to assemble an agent with a single config, thus minimizing your effort in building, tuning, and sharing agents.
Contributions:1 review, 37 PRs, 110 pushes in 3 months
agentartificial-intelligencecooperative-ailarge-language-modelsllm
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