General Information

Name
Viraj Thakkar
Position
Ph.D. Student, Computer Science
Advisor
Dr. Zhichao Cao
Affiliation
Arizona State University
Languages
Hindi (native), English (fluent), Gujarati (advanced)

Research Interests

  • Data Infrastructure: LSM-based Key-Value Stores (RocksDB, LevelDB); Disaggregated Compute, Memory, and Storage; Storage for Quantum Computing; Data Confidentiality.
  • Intelligent Storage: AI/ML for Storage Systems; Storage Systems for AI/ML; Real-Time Storage Systems for High-Velocity and High-Volume Data.

Education

  • Ph.D. in Computer Science · 2023 - Ongoing

    Arizona State University · Advisor - Dr. Zhichao Cao

    • ASU Fulton Fellowship Award Recipient.
    • GPA: 3.95 / 4.00.
  • M.S. in Computer Science · 2022 - 2023

    Arizona State University · Advisor - Dr. Zhichao Cao

    • Thesis: Refining Consistency and Performance Trade-off in Distributed LSM-KVS.
    • GPA: 3.87 / 4.00.
  • B.Tech in Information Technology · 2017 - 2021

    K. J. Somaiya College of Engineering, Mumbai University

    • CGPA: 8.56 / 10.00.

Honors, Grants, and Awards

  • ASU Nominee for Google PhD Fellowship Award · 2026

  • ACM SIGMOD Travel Grant · 2025, 2026

  • ASU SCAI, Graduate College, and GSG Travel Grant · 2025, 2026

  • OpenAI Researcher Access Program Credit Award · 2025, 2026

  • HotStorage 2024 SK Hynix Best Paper Award · 2024

  • USENIX FAST Travel Grant · 2024, 2025, 2026

  • ASU Fulton Fellowship · 2023 - 2025

Experience

  • System Software Research Associate Intern — HPE Labs · Aug 2025 - May 2026

    Systems Architecture Lab · California, USA

    • Explored FUSE (Linux's Filesystem in Userspace) for slowdowns due to kernel scheduling and identified optimizations currently under development.
    • Developed a prototype RDMA-based in-memory filesystem on top of FUSE to experiment with different solutions.
  • System Software Research Associate Intern — HPE Labs · May 2025 - Aug 2025

    Systems Architecture Lab · California, USA

    • Performed a background survey over existing distributed caching/storage services like Redis and Memcached.
    • Designed and developed a federated token management solution that maintains cache coherence for a global distributed client-side cache.
  • Software Development Engineer Intern — Amazon · May 2023 - Aug 2023

    Washington D.C., USA

    • Established product documentation to seamlessly onboard future team members.
    • Built a full-stack application (AWS Lambda, DynamoDB, S3, ECS, SQS, CloudFormation) to check for copyright infringements for products on Amazon.
  • Junior Researcher — Somaiya Vidyavihar & CIFF (U.K.) · Sept 2019 - Mar 2020

    Mumbai, India

    • Led a team of six to build an automated tool identifying legal cases about Online Child Sexual Abuse and Exploitation (OCSA/OCSE) in India.
    • Contributed to a report for the National Commission for Protection of Child Rights, submitted to the Rajya Sabha of the Indian Parliament.

Invited Talks

  • How to Tune your Key-Value Store · Upcoming

    Amazon Invited Talk

  • ANCHOR: A Vision for Secure Persistent Key-Value Stores in Disaggregated Data Centers · 2026

    1st SeQureDB Workshop on Secure & Private Data Management

  • O3-LSM: Maximizing Disaggregated LSM Write Performance via Three-Layer Offloading · 2026

    ACM SIGMOD

  • SHIELD: Encrypting Persistent Data of LSM-KVS from Monolithic to Disaggregated Storage · 2025

    ACM SIGMOD

  • NetLSM: Enabling an In-Network Approach for Scheduling LSM-KVS Operations · 2025

    USENIX FAST

  • Can Modern LLMs Tune and Configure LSM-based Key-Value Stores? · 2024

    ACM Workshop on Hot Topics in Storage and File Systems (HotStorage)

  • LLM-assisted Automatic-Configuration and Tuning Framework for LSM-based Key-Value Stores · 2024

    USENIX FAST

  • Explainability using Decision Trees and Monte Carlo Simulations · 2021

    Int'l Conference on Advances in Science & Technology (ICAST)

Academic Services

Shadow Program Committee

  • VLDB 2027
  • SIGMETRICS 2026
  • EuroSys 2025

Artifact Evaluation Committee

  • FAST 2026
  • FAST 2025
  • SIGMOD 2025

Mentorship

  • Timo Sokler — HPE Labs Dual-Study Intern · 2026

    Characterizing and understanding eBPF overheads.
  • Sampada Nemade — M.S. Student · 2026

    Modeling traces using statistical methods.
  • Elias Klett — HPE Labs Dual-Study Intern · 2025

    Benchmarking FUSE as an in-memory filesystem.
  • Anushwar Sharma — M.S. Student · 2025

    The fusion of LLMs and ML for LSM-KVS tuning.
  • Harry Deccoco — M.S. Thesis Student · 2024

    Optimizing post-deletion performance in LSM-KVS.
  • Madhumitha Sukumar & Kaushiki Singh — Undergrad Project Group; Jiaxin Dai — M.S. Project Group · 2023

    LLM-driven tuning for LSM-KVS.
  • Anish Pawar, Kamal Rohra & Dhruv Joshi — Undergrad Robotics Club · 2020

    Simulating object physics in MATLAB.

Patents and Invention Disclosures

  • John Byrne, Viraj Thakkar, Harumi Kuno, Sekwon Lee. "A Global, Strongly Consistent, Client-Sided Caching Mechanism." Under HPE internal disclosure review; patent filing upon approval.
  • John Byrne, Viraj Thakkar, Harumi Kuno, Sekwon Lee. "Federated Coherence Management for a Globally Shared Cache." Under HPE internal disclosure review; patent filing upon approval.

Other Interests

  • Sports & Games: Tennis, Basketball, Chess.
  • Hobbies: Writing, Travelling, Philosophy, and Movies.