Ziyi Yang
PHD Student at KAUST (King Abdullah University of Science and Technology)
Jeddah, Makkah Region, Saudi Arabia
Summary
🤩
Rockstar🎓
Top SchoolZiyi Yang is a PhD student in computer science at KAUST with three years of industry experience building algorithmic backends and integrations for AI frameworks. She has served as an algorithm engineer at CAMEL-AI.org and Eigent AI, contributing notably to the popular CAMEL multi-agent framework by integrating external services like weather, Google Maps, Wolfram|Alpha, and Twitter via OpenAPI-driven automatic calls. Based in Jeddah, she blends research-grade rigor with practical engineering, implementing and testing production-ready API connectors using libraries such as pyowm and googlemaps. Her work reflects a focus on expanding agent capabilities through rich external knowledge sources, not just core model work. Fluent in both English and Chinese, she encourages collaboration via GitHub issues and keeps a learner’s mindset—“Learning...”—visible in her public profile.
3 years of coding experience
2 years 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, Master's degree at Harbin Institute of Technology
Github Skills (10)
apim10
api10
google-maps-api10
python10
back-end-development10
openapi10
twitter-api9
artificial-intelligence9
large-language-models8
natural-language-processing7
Programming languages (4)
Github contributions (5)
camel-ai/camel
Aug 2023 - Mar 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:76 reviews, 20 PRs, 53 pushes in 1 year 7 months
Contributions summary:Ziyi primarily contributed to backend functionality, specifically focusing on integrating weather and Google Maps APIs to expand the capabilities of the CAMEL framework. Their work involved implementing and testing new functions for retrieving weather data and address descriptions, utilizing libraries like `pyowm` and `googlemaps`. Furthermore, the user was involved in the addition of the Wolfram|Alpha query feature for scientific knowledge and Twitter API function calls, enhancing the framework's ability to interact with diverse external services. The user also contributed to automatic calling of APIs conforming to the OpenAPI specification, expanding the functionality of the framework.
agentai-societiesartificial-intelligencecommunicative-aicooperative-ai
camel-ai/oasis
Nov 2024 - Apr 2025
🏝️ OASIS: Open Agent Social Interaction Simulations with One Million Agents. https://oasis.camel-ai.org
Contributions:14 reviews, 34 PRs, 50 pushes in 4 months
agent-based-frameworkagent-based-simulationai-societiesdeep-learninglarge-language-models
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