Vikranth Srivatsa

PhD Student at UC San Diego · WukLab · Sysnet

I'm a 2nd-year PhD student at WukLab, focusing on ML systems and LLM inference, under the guidance of Professor Yiying Zhang. My research covers load balancing, memory management, and efficient scheduling for large language models.

I completed my undergraduate and master's degrees in Electrical Engineering and Computer Science at UC Berkeley, where I worked at RISE Labs with Professor Joseph Gonzalez.

Publications

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning — KDD 2025
Preble: Efficient Distributed Prompt Scheduling for LLM Serving — ICLR 2025
InferCept: High-Performance Inference Serving with Load Balancing — ICML 2024