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.
10 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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