About

Arjun Balasubramanian is a highly skilled Senior Software Engineer with over 5 years of experience in the field. He is currently working with the AWS Deep Learning team, where he is focused on speeding up distributed deep learning training. Prior to this, Arjun worked on improving performance and scalability of AWS Aurora. Arjun's core areas of expertise are systems for large-scale deep learning and Serverless Computing, as evidenced by his publications on Google Scholar. He is a graduate of the University of Wisconsin Madison, where he earned his Master's degree in Computer Science. During his time at the university, Arjun was a Graduate Research Assistant advised by Prof. Aditya Akella and Prof. Shivaram Venkataraman. His research projects included Accelerating Deep Learning Inference via Freezing, Unwritten Contract for Distributed Systems on SSDs, Fair GPU Cluster Scheduling for ML training jobs, and Low Latency Scheduling for Serverless Platforms. Before pursuing his graduate studies, Arjun spent two years working with the Kindle Device Software team at Amazon. During this time, he gained valuable experience in Operating Systems, Software Design, and product development. Arjun's technical skills include Software Engineering, Deep Learning, and AWS. He has a proven track record of delivering high-quality work and is highly regarded by his colleagues. Arjun is a dedicated and hardworking individual who is always looking for new challenges to tackle.