Mathew Hogan is a software engineer based in the San Francisco Bay Area with five years of experience building production-grade distributed systems and storage for high-scale platforms. His background includes contributing to Apache Kafka storage at Confluent and leading technical teams at Contextual AI before joining Cursor, demonstrating both deep systems expertise and early management experience. He holds BS and MS degrees in Computer Science from Stanford and has taught core CS courses there, showing a strong foundation in operating systems, security, and blockchain topics. Mathew’s internships at Amazon and AWS produced shipped features and cost-saving infrastructure—one project eliminated millions in monthly waste—highlighting a track record of practical impact. Known for bridging low-level systems work with product-focused delivery, he combines rigorous academic training with hands-on production experience. An understated strength is his experience designing accessible device features at Amazon Lab126, reflecting attention to real-world user needs beyond just backend systems.
5 years of coding experience
5 years of employment as a software developer
High School Diploma, High School Diploma at Harvard-Westlake School
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Stanford University
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