Shubham Kaushik

Ph.D. Researcher

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Hello! 👋 I’m a PhD student at the Michtom School of Computer Science, Brandeis University, working under the mentorship of Prof. Subhadeep Sarkar. My research revolves around optimizing data systems and distributed systems, with a current focus on Log-Structured Merge (LSM) trees. In this domain, I explore innovative compaction strategies and improvements to range deletes. I completed a Master’s degree in Computer Science, specializing in Data-Centric Computing, at the Graduate School of Arts & Science, Boston University.

Professionally, I have been involved in various capacities across the tech industry, from innovative gaming startups like Kwalee to major corporations such as FIS Global and Wipro Limited. My roles have predominantly centered around data systems and distributed systems, where I developed skills that are integral to both my research and industry applications.

News

Jun 8, 2024 Presenting “Anatomy of LSM Memory Buffer” at DBTest workshop affiliated from SIGMOD, exploring the impact of memory buffer implementations on LSM-engines.
May 23, 2024 Presenting a poster at North-East Database Day, 2024 on “RangeReduce: A Range Query Driven Compaction for LSM-Trees.”
Jan 1, 2024 Starting PhD in Computer Science at Brandeis University.
Sep 6, 2022 Starting Masters in Computer Science at Boston University.

Publications

  1. DBTest
    Anatomy of LSM Memory Buffer: Insights & Implications
    Shubham Kaushik, and Subhadeep Sarkar
    Proceedings of the Tenth International Workshop on Testing Database Systems, Jun 2024
  2. JCSE
    Fault Modelling of an Object-Oriented System using CPN
    Shubham Kaushik, and  Ratneshwer
    International Journal of Computer Sciences and Engineering, May 2019