About Me

I am a Machine Learning Engineer at Netflix, where I architect post-training infrastructure for Generative AI. I earned my Ph.D. in Computer Engineering from Northeastern University under the supervision of Professor Devesh Tiwari. My expertise lies at the intersection of High-Performance Computing (HPC) and AI, with a specialized focus on building robust post-training frameworks and driving performance optimizations for large-scale models.

Interests
  • LLM Post-Training
  • GPU Performance
  • Reinforcement Learning
Education
  • Ph.D. in Computer Engineering

    Northeastern University

  • M.S. in ECE

    University of Texas at Austin

  • B.Eng. (honours) in EEE

    The University of Manchester

News

[2025/12] My PhD dissertation was selected for IEEE outstanding PhD dissertation award

[2024/07] Started building GenAI infrastructure at Netflix

[2024/06] Selected as MLCommons ML and Systems Rising Star!

[2024/04] Received Outstanding Ph.D. Research Award from Northeastern University College of Engineering!

[2024/04] Received Lux. Veritas. Virtus. Exceptional Graduate Student Award from Northeastern University!

[2023/11] Presented Clover and Sustainable HPC at SC'23!

[2023/06] Kairos won the Best Paper Award at HPDC'23!

Selected Publications
(2024). Toward Sustainable GenAI using Generation Directives for Carbon-Friendly Large Language Model Inference. In EMNLP ‘24.
(2024). Interpretable Analysis of Production GPU Clusters Monitoring Data via Association Rule Mining. In IPDPS ‘24.
(2023). Clover: Toward Sustainable AI with Carbon-Aware Machine Learning Inference Service. In SC ‘23.
(2023). Toward Sustainable HPC: Carbon Footprint Estimation and Environmental Implications of HPC Systems. In SC ‘23.
(2023). Sustainable Supercomputing for AI: GPU Power Capping at HPC Scale. In SoCC ‘23.