Vikranth Srivatsa

WukLab, Sysnet, Sky/RiseLab

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. My research there included serverless execution across multi-cloud, 5G, and edge computing with Moustafa Adelbaky, and machine learning distribution shift explainability with Yaoqing Yang and Yaodong Yu.

Vikranth Srivatsa

2nd year PhD Student at UCSD

News

Mar 05, 2025
🎉Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning to KDD 2025!
Apr 05, 2025
🎉Preble: Efficient Distributed Prompt Scheduling for LLM Serving to ICLR 2025!
May 01, 2024
🎉 InferCept was accepted to ICML 2024!