Raunak Shah
I am currently pursuing my Masters in Computer Science at the University of Illinois, Urbana-Champaign. I am advised by Prof. Yongjoo Park. I have experience solving problems in various areas related to big data, machine learning, and systems.
Previously, I was a Research Associate II at the Data-driven Systems, Insights, and Experiences Group at Adobe Research for 2 years, where I worked on designing and implementing solutions to reduce storage/compute costs, improve data management & governance, and optimize the performance of data-driven systems in Adobe’s Experience Platform. This involved working with data at large scales (TBs-PBs) and applying machine learning and data analytics on enterprise customer data and system level metrics. My primary advisors at Adobe were Dr. Koyel Mukherjee and Dr. Shiv Kumar Saini.
I received my undergraduate degree in Electrical Engineering from IIT Kanpur in 2021. Earlier in 2019, I visited the University of California, San Diego (UCSD), where I worked on deep learning for autonomous driving applications - more specifically, I worked on unsupervised pixel-level depth estimation in driving scenes. I was advised by Prof. Dinesh Bharadia and Dr. Gaurav Bansal.
At college, I also co-founded and led the IIT Kanpur Consulting Group, where we helped social organizations and government entities leverage better insights from their data through data science and machine learning.
My CV can be found here.
Publications and Preprints
Patents
- Optimizing Storage-Related Costs with Compression in a Multi-Tiered Storage DeviceUS Patent App. 17/851,443. Filed on Jun 29, 2022
- Computing Resource Allocation Mechanism Testing and DeploymentUS Patent App. 18/178,715. Filed on Mar 6, 2023
- Fraud Detection in NFT ExchangesUS Patent App. 18/181,018. Filed on Mar 9, 2023
- Relating Data in Data LakesUS Patent App. 18/319,748. Filed on May 18, 2023
- Generating Fact Trees for Data StorytellingUS Patent App. 18/471,996. Filed on Sep 16, 2023