I’m a final year Ph.D student in the CS Department at Carnegie Mellon University, fortunate to be advised by Prof. Greg Ganger. My research focuses on improving the efficiency of large-scale machine learning infrastructure through better utilization of the underlying hardware. I’m broadly interested in systems research, with some focus on abstractions, performance and utilization in domain-specific systems like machine learning and graph porocessing systems.

I am currently working on developing responsive and efficient schedulers for large-scale deep learning clusters that host tens of thousands of heterogeneous GPUs.

I am on the job market this year and am looking for opportunities as a researcher in systems and machine learning.

Previously, I spent two wonderful years at Microsoft Research India, where I worked with Dr. Harsha Simhadri on problems in Machine Learning and Systems. Our work (along with Dr. Ravishankar Krishnaswamy) resulted in a low-cost, low-latency approximate nearest neighbor search that now powers vector search in Bing Web Search and other enterprise search offerings. In ancient times, I have worked on some topics in reinforcement learning and natural language generation systems.

Research Interests

• Computer Systems - Systems for Machine Learning, Infrastructure for ML, Cluster Scheduling
• Machine Learning - Algorithms for Large-Scale Machine Learning