Zecheng Zhang
Contributor at Eigent AI
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolZecheng Zhang is a founder and engineer with nine years of experience building AI-native systems, most recently founding Strukto.AI to create a unified virtual file system for AI agents. A Stanford CS MS and former AWS AI engineer, he co-founded TraceRoot.AI (YC S25) and helped design an autonomous debugging platform for production systems. Deeply rooted in graph ML and GNNs, he co-created DeepSNAP and contributes to PyTorch Geometric and RelBench while driving explainability and dataset implementations. Active in prominent open-source AI projects, he’s a core contributor to CAMEL, enabling OpenAI streaming and refining multi-agent examples, and helped co-create PyTorch Frame. Zecheng blends research and product instincts—publishing papers while shipping robust back-end systems—and has a track record of turning cutting-edge GNN research into production-ready tooling. Based in San Francisco, he focuses on developer-facing libraries and agent infrastructure that scale from research prototypes to real-world deployments.
9 years of coding experience
8 years of employment as a software developer
Summer Exchange, Computer Science, Summer Exchange, Computer Science at Nanyang Technological University SingaporeY CombinatorBachelor of Science, Computer Science, Bachelor of Science, Computer Science at University of Illinois Urbana-ChampaignMaster of Science, Computer Science, Master of Science, Computer Science at Stanford University
English, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (13)
pytorch10
openai-api10
explainable-artificial-intelligence10
deep-learning10
graph-neural-network10
graph-convolutional-networks10
large-language-models10
python10
natural-language-processing9
unit-testing9
code-coverage9
agent8
deeplearning-ai7
Programming languages (2)
Github contributions (5)
camel-ai/camel
Jun 2023 - Mar 2025
🐫 CAMEL: Finding the Scaling Law of Agents. The first and the best multi-agent framework. https://www.camel-ai.org
Role in this project:
Back-end Developer
Back-end DeveloperContributions:126 reviews, 31 PRs, 101 pushes in 1 year 9 months
Contributions summary:Zecheng contributed to improving existing examples and made minor fixes to documentation and prompts within the CAMEL framework. Their work involved refining a summarization solution extraction example, specifically modifying the `gpt_solution_extraction.py` file, showcasing a focus on improving existing functionalities. They also addressed documentation and prompt issues, indicating a role in maintaining code clarity and usability within the project. Additionally, the user enabled OpenAI model streaming and fixed a related token calculation, demonstrating knowledge of the OpenAI API and model interaction.
agentai-societiesartificial-intelligencecommunicative-aicooperative-ai
pyg-team/pytorch_geometric
Oct 2022 - Dec 2022
Graph Neural Network Library for PyTorch
Role in this project:ML Engineer
ML EngineerContributions:40 reviews, 2 commits, 32 PRs in 1 month
Contributions summary:Zecheng contributed to the PyTorch Geometric library, which is designed for graph neural networks. Their work included implementing and testing the Infection benchmark dataset for explainability algorithms and adding tests to enhance code coverage for various components such as `APPNP`, `HeteroConv`, and `PNAConv`. Furthermore, the user addressed bugs and made improvements to the `PNAConv` and `DegreeScalerAggregation` modules, and updated documentation.
pytorchgraph-convolutional-networksgeometric-deep-learningdeep-learningneural-graph
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