Binhan Xu is a Senior Software Engineer at Pure Storage, bringing seven years of experience spanning high-performance software, computer vision, and ML systems. He earned a BS in Computer Engineering from Purdue University with a near-perfect GPA (3.91) and has complemented industry work with hands-on research leadership in Purdue's RoboMaster and CV teams. Notably, he published a paper on large-scale object detection for network cameras and significantly accelerated YOLO-based detection from 40 FPS to 260+ FPS by leveraging parallel computing with Apache Spark, while exploring synthetic data generation for robust vision in varying lighting. His early stints—from AI intern roles to SAP system customization—show a knack for end-to-end delivery, from algorithmic development to data engineering on large datasets (including a 4 TB automatically labeled dataset). Based in West Lafayette, he blends academic rigor with industry pragmatism, delivering efficient, scalable software across embedded, vision, and cloud-native domains.
8 years of coding experience
4 years of employment as a software developer
St. Andrew's College
Bachelor of Science - BS, Computer Engineering, 3.91, Bachelor of Science - BS, Computer Engineering, 3.91 at Purdue University
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Binhan Xu - Senior Software Engineer at Pure Storage