Yiwen Yuan is a Palo Alto-based software engineer specializing in applied AI, currently a Member of Technical Staff at xAI where he builds scalable AI systems. He previously led Kumo.AI’s test platform as Tech Lead and contributed to Palantir’s developer tools and backend infrastructure, with ML work on graph neural network–based recommendations at Kumo.AI. Early in his career he built a Zillow Offers landing page with React, worked on trading tooling at Morgan Stanley, and served as a teaching assistant and research assistant at Carnegie Mellon for probabilistic graphical models. An active open-source contributor, he co-created PyTorch Frame and contributed to RelBench and Optuna, demonstrating a passion for tooling and reproducibility. He holds BS and MS degrees in Computer Science from CMU and keeps a strong record of bridging academic research with production-grade software across the AI/ML stack.
9 years of coding experience
4 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Carnegie Mellon University
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