I'm a Ph.D. Candidate at University of Illinois at Urbana-Champaign where I'm co-advised by Prof. Radhika Mittal and Prof. Brighten Godfrey.

Previously, I was a Research Fellow at Microsoft Research India, where I worked with Dr. Venkat Padmanabhan, Dr. Nagarajan Natarajan, Dr. Sundararajan Sellamanickam and Dr. Johannes Gehrke on networking research in the context of global-scale online services.

Prior to my time in research, I spent 6 months working for Mozilla on Network Security Services as part of Mozilla Winter of Security. I graduated with a B.Tech. in Computer Science and Engineering from National Institute of Technology, Trichy, India in 2018.

I am quite broadly interested in Systems and Networking. In recent times, my focus has been on Service Meshes and Microservices.


TraceWeaver: Blackbox Request Tracing for Modern Cloud Applications
Sachin Ashok, Vipul Harsh, Brighten Godfrey, Radhika Mittal, Srinivasan Parthasarthy, Larisa Shwartz
SIGCOMM'24 | ACM SIGCOMM 2024 Conference
pdf| cite| kubecon talk

Murphy: Performance Diagnosis of Distributed Cloud Applications
Vipul Harsh, Wenxuan Zhou, Sachin Ashok, Radhika N. Mysore, Brighten Godfrey, Sujata Banerjee
SIGCOMM'23 | ACM SIGCOMM 2023 Conference
pdf| cite| blogpost

Fast and Efficient Lookups via Data-Driven FIB Designs
Sachin Ashok*, Aditi Partap*, Ammar Tahir* (* = Equal Contribution)
FIRA@SIGCOMM'22 | ACM SIGCOMM Workshop on Future of Internet Routing & Addressing 2022
pdf| cite

Data-Driven Network Path Simulation with iBox
Sachin Ashok, Shubham Tiwari, Nagarajan Natarajan, Venkata N. Padmanabhan, Sundararajan Sellamanickam
pdf| talk| cite

Leveraging Service Meshes as a New Network Layer
Sachin Ashok, P. Brighten Godfrey, and Radhika Mittal
HotNets'21 | HotNets 2021: Twentieth ACM Workshop on Hot Topics in Networks
pdf| talk| cite

iBox: Internet in a Box
Sachin Ashok, Sai Surya Duvvuri, Nagarajan Natarajan, Venkat Padmanabhan, Sundararajan Sellamanickam, and Johannes Gehrke
HotNets'20 | HotNets 2020: Nineteenth ACM Workshop on Hot Topics in Networks
pdf| talk| cite| blogpost| website| repo

Reinforcement Learning for Bandwidth Estimation and Congestion Control in Real-Time Communications
Joyce Fang, Martin Ellis, Bin Li, Siyao Liu, Yasaman Hosseinkashi, Michael Revow, Albert Sadovnikov, Ziyuan Liu, Peng Cheng, Sachin Ashok, David Zhao, Ross Cutler, Yan Lu, and Johannes Gehrke
MLForSystems'19 | Workshop on ML For Systems at NeurIPS
pdf| cite



NIT Trichy
2014 - 2018
Spring 2016
Samsung Research
Summer 2017
Microsoft Research
2018 - 2021
University of Illinois Urbana-Champaign
2021 - Present
© Sachin Ashok. All rights reserved