Varun Gohil

Hi! I am a Ph.D. student at MIT CSAIL working with Prof. Christina Delimitrou. I design and optimize datacenter infrastructure by leveraging machine learning to drive system performance and efficiency.

My current research explores:

• Resilient ML-driven systems: Improving reliability of systems that use ML policies for autonomous decision-making.
• LLM-driven heuristic design: Using LLMs to discover and synthesize novel heuristics for system management.
• Accelerator design and programming: Exploring LLM-driven accelerator design and defining programming abstractions that simplify hardware optimization.

I earned my Master’s at MIT, where I developed a frequency-aware request scheduler for microservices by modifying the Thrift RPC framework. I completed my undergraduate studies at IIT Gandhinagar, during which I worked on approximate computing, memory systems, and hardware for autonomous vehicles with Profs. Manu Awasthi, Joycee Mekie and Rajeev Balasubramonian.

I maintain ml-for-systems.github.io to track ML-for-Systems papers in top-tier systems venues.