Hammad Ather

Hammad Ather is a skilled researcher and software engineer with extensive experience in high-performance computing and machine learning. Currently serving as a Graduate Research Assistant at the University of Oregon since January 2021, Hammad focuses on performance analysis of high-energy physics applications, achieving a notable 25% performance improvement by diagnosing and addressing performance bottlenecks. Previous internships at Lawrence Livermore National Laboratory and Berkeley Lab involved leading work on I/O optimization for scientific applications. Hammad has also worked as a Research Scientist Intern at Meta, where optimization of distributed training for AI models was a key focus. Hammad's early career included roles as a Research Assistant at Lahore University of Management Sciences and a Software Engineer at i2c Inc., contributing to research on federated learning and developing robust web applications for financial transaction handling. Hammad holds a Bachelor of Science in Computer Science from the National University of Computer and Emerging Sciences.