Portrait of Anjaly Parayil

Anjaly Parayil

Senior Researcher

About

Welcome!

I am a senior researcher at M365 Research. My key focus includes data-driven optimizations to ensure continuous availability of cloud services and improve the efficiency of cloud infrastructure running diverse workloads, including the newly emerged Large Language Model workloads. My additional area of interest includes Reinforcement learning, machine learning applied to large-scale datasets, sparse optimization, Bayesian approaches, state estimation, optimization, and multi-agent control.

Recent News

  • September 2025: SageServe got accepted to ACM Sigmetrics 2026.
  • June 2025: Workload Sage: Workload-Aware IaaS abstraction for Cloud Efficiency accepted to SC’25.
  • June 2025: Talking at the Panel discussion on “Do We Need More Models or Better Systems for AI Breakthroughs?” by IISc ACM Student Chapter.
  • March 2025: Industry Keynote at EE – Research Symposium, IIT Madras.

Team

I have had the privilege to work with wonderful interns and Research Fellows. In reverse chronological order:

Lexiang Huang (opens in new tab), Vaibhav Ganatra (opens in new tab), Fiza Husain (opens in new tab), Kunal Jain (opens in new tab), Redwan Khan (opens in new tab), Shashwat Jaiswal, (opens in new tab)Shreeya Venneti

Prior to M365Research

Prior to Joining Microsoft, I was a postdoctoral fellow with the Computational and Information Sciences Directorate at the US Army Research Laboratory (opens in new tab), Adelphi, from Sept. 2019 to Aug. 2021.  A couple of works from my postdoc include Reinforcement Learning applied to continuous action space, Bayesian Inferencing in a distributed setting, sparse Bayesian learning, etc. Apart from research in AI and leading academic collaborations, I was also part of the Director’s Strategic Initiative program spanning theory, modelling, and experimentation.  I completed my graduate studies at the Department of Aerospace Engineering, Indian Institute of Science, Bangalore (opens in new tab). My doctoral thesis focused on uncertain systems and multi-agent control, for which I received Prof. A. K. Rao Medal for the best Ph.D. Thesis.  I have authored 20+ publications in Artificial intelligence, control systems and optimization. In addition, I also serve as a reviewer for multiple conferences and journals.