I am a PhD student in Computer Science at The University of Texas at Austin, advised by Prof. Aditya Akella. I work on systems research with a focus on how to apply ML to systems problems. I am involved with the LDOS venture.
I previously completed my Master's degree in Computer Science & Engineering at University of Michigan, Ann Arbor, where I worked with Profs Ryan Huang and Mosharaf Chowdhury on fault tolerance and AI resource management. I was recognized with the
Moeller Award for outstanding academic achievements and social responsibility.
Previously, I worked as a Research Engineer at the National University of Singapore in the ECE department under Prof Mohan Guruswamy on anomaly detection in Software Defined Networking. I also have industry experience
as a Software Engineer at Google and a Quantitative Research Intern at
JP Morgan Chase & Co.
Started my PhD in Computer Science at UT Austin, advised by Prof. Aditya AkellaAug 2026
Received a student scholarship to travel to SOSP'26Jul 2026
LiteLib: Containing Failure Impact for Stateful Applications with Compact Replicas accepted to appear at NSDI'27Jun 2026
Towards Tractable Hardware Model Validation Against Real Hardware to appear at PLOS'26Jun 2026
Dual-Branch Transformer for Anomaly-Based Intrusion Detection to appear at IEEE CNS'25Sep 2025
Interning at MPI-SWS with Profs Andrea Lattuada and Reto AchermannMay 2025
Received the Moeller Award at the University of MichiganFeb 2025
Publications
Towards Tractable Hardware Model Validation Against Real Hardware Rishika Varma Kalidindi, Reto Achermann PLOS'26 | Workshop on Programming Languages and Operating Systems pdf|cite
Dual-Branch Transformer for Anomaly-Based Intrusion Detection from Multivariate KPIs in the 5G User Plane
Zixu Tian, Rishika Varma Kalidindi, Mohan Gurusamy CNS'25 | IEEE Conference on Communications and Network Security pdf|cite