I am a PhD candidate in Computer Engineering at UIUC advised by Ravishankar K. Iyer in the DEPEND research group. My research interests are at the intersection of computer systems and machine learning, with a focus on improving the dependability and efficiency of large-scale systems.

During my PhD, I was fortunate to intern and collaborate with amazing mentors at IBM Research, Google Network Infrastructure, and Meta AI Infrastructure.

I am honored to be selected as a 2025 Machine Learning and Systems Rising Star.

Selected Publications

• Learned Page Migration in Disaggregated HPC Systems.

  Archit Patke, Chrisitan Pinto, Saurabh Jha, Haoran Qiu, Zbigniew Kalbarczyk, and Ravishankar Iyer.

  ICS 2025.

  •  Paper

• QLM: Queue Management for SLO-oriented Large Language Model Serving.

  Archit Patke, Dhemath Reddy, Saurabh Jha, Haoran Qiu, Christian Pinto, Chandra Narayanaswami, Zbigniew Kalbarczyk, and Ravishankar Iyer.

  SoCC 2024.

  • Integrated into vLLM v0.6.2+ (release notes)

  • Used in production at ByteDance (blog), IBM, Snowflake (presentation), and others

  •  DOI
  •  Code
  •  Paper

• Power-aware Deep Learning Model Serving with μ-Serve.

  Haoran Qiu, Weichao Mao, Archit Patke, Shengkun Cui, Saurabh Jha, Chen Wang, Hubertus Franke, Zbigniew Kalbarczyk, Tamer Başar, Ravishankar Iyer,.

  ATC 2024.

  •  DOI
  •  Paper

• Delay Sensitivity-driven Congestion Mitigation for HPC Systems.

  Archit Patke, Saurabh Jha, Haoran Qiu, Jim Brandt, Ann Gentile, Joe Greenseid, Zbigniew Kalbarczyk, and Ravishankar Iyer.

  ICS 2021.

  •  DOI
  •  Talk
  •  Paper

• Measuring Congestion in High-Performance Datacenter Interconnects.

  Saurabh Jha, Archit Patke, Jim Brandt, Ann Gentile, Benjmain Lim, Mike Showerman, Greg Bauer, Larry Kaplan, Zbigniew Kalbarczyk, William Kramer and Ravishankar Iyer.

  NSDI 2020.

  •  DOI
  •  Data
  •  Code
  •  Talk
  •  Paper