Zexuan Xu is a software engineer specializing in machine learning with 9 years of experience and a 7-year focus on ML research and engineering for infrastructure, computer vision, and forecasting. He has a strong track record building end-to-end pipelines and deploying models that support risk assessment and data-driven decision making for energy and climate applications. At Berkeley Lab he led integration of simulation, remote sensing and sensor data into physics-informed deep learning systems and automated large-scale ETL for climate resilience and grid planning. Now at Meta he applies that interdisciplinary background to recommendation systems at Instagram, bringing scientific rigor to product-facing ML. Comfortable leading teams and translating stakeholder needs into production software, he pairs PhD-level computational modeling expertise with hands-on engineering across Python, SQL, HPC workflows and ML frameworks. An uncommon strength is his ability to reduce model complexity and bias—evidenced by past feature-engineering and CV work that dramatically cut features and improved fairness while speeding development.
9 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (Ph.D) Geology (Computational Modeling), Doctor of Philosophy (Ph.D) Geology (Computational Modeling) at Florida State University
Bachelor of Science (B.Sc) Geoinformation , Bachelor of Science (B.Sc) Geoinformation at Zhejiang University
Contributions:20 pushes, 1 branch in 1 year 6 months
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