Kailash Gogineni

Kailash Gogineni is a Machine Learning Performance Engineer on AMD’s Training at Scale team, where he specializes in optimizing the fine-tuning phase of large language models and supports the company’s biweekly Docker release cycle. He earned his Ph.D. in Computer Engineering from George Washington University in 2025, conducting research on systems for machine learning and reinforcement learning, performance modeling and analysis, and workload characterization. Kailash holds a B.Tech. in Computer Science and Engineering from Vellore Institute of Technology (2019). His interests include systems for machine learning, reinforcement learning, performance modeling and analysis, and workload characterization.