# Divyaank Tiwari > SWE @ Rubrik | MS CS @ Stony Brook University | Researcher @ File systems and Storage Lab | MSCI | Siemens | SPIT ’20 | Distributed Systems | Backend Engineering | Kubernetes | SRE Location: San Francisco Bay Area, United States Profile: https://flows.cv/divyaank Software Engineer at Rubrik working on cloud-native distributed indexing and search systems, building file-level search and metadata platforms for large-scale VM backups across hybrid environments. Previously worked across systems research and industry on operating systems, storage, and performance engineering. Interested in all things systems. ## Work Experience ### Software Engineer @ Rubrik Jan 2025 – Present | Palo Alto, California, United States Building scalable File Indexing and Search solutions at Rubrik. ### Artifact Evaluator @ USENIX Association Jan 2024 – Present > Served as a member of the Artifact Evaluation Committee for the 23rd USENIX Conference on File and Storage Technologies (FAST '25) (Link: https://www.usenix.org/conference/fast25#organizers) > Performed Artifact Evaluation for the following Papers: 1. "Silhouette: Leveraging Consistency Mechanisms to Detect Bugs in Persistent Memory-Based File Systems" (Link: https://www.usenix.org/conference/fast25/presentation/jiao) 2. "D2FS: Device-Driven Filesystem Garbage Collection" (Link: https://www.usenix.org/conference/fast25/presentation/kim-juwon) ### Visiting Scholar @ Stony Brook University Jan 2025 – Jan 2025 | Stony Brook, New York, United States Affiliated with File systems and Storage Lab (FSL) ### Graduate Teaching Assistant @ Stony Brook University Jan 2025 – Jan 2025 | Stony Brook, New York, United States > Assisted Prof. Eugene Stark in teaching CSE 320: Systems Fundamentals II > Helped create robust test cases to evaluate assignments. > Conducted weekly office hours to provide support for students on assignments and course contents. > Graded assignments and answered questions about the same on Piazza. ### Graduate Research Assistant @ Stony Brook University Jan 2023 – Jan 2025 > Contributing to Metis, a differential-testing based model checker for Linux file systems. > Productionized containerization support for Swarm Verification mode in Metis. > Investigated kernel hang bugs in the Linux Journaled File System (JFS) using Metis, leveraging debugging techniques such as logging, assertions, and profiling. > Submitted a patch to the Linux kernel to resolve a JFS oops bug. (Link: https://lore.kernel.org/lkml/8c7b1d37-758a-46b2-b8aa-afd333140bf4@oracle.com/t/) > Developed an efficient record-and-replay-based replayer to trigger non-deterministic JFS kernel oops bugs. This replayer reduced execution time by 33% and decreased the lines of code by 60% compared to the original implementation in Metis. (Link: https://lkml.org/lkml/2024/7/5/899). ### Graduate Teaching Assistant @ Stony Brook University Jan 2024 – Jan 2024 | Stony Brook, New York, United States > Assisted Prof. Eugene Stark in teaching CSE 306: Operating Systems. > Conducted office hours to provide support for students on course material and assignments. > Prepared grading rubrics and test scripts for course assignments. ### Artifact Evaluator @ ACM, Association for Computing Machinery Jan 2025 – Jan 2025 > Serving as an Artifact Evaluator for the ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS 2025). (Link: https://www.asplos-conference.org/asplos2025/) > Evaluated the Artifact for the paper, "Skia: Exposing Shadow Branches". ### Associate @ MSCI Inc. Jan 2022 – Jan 2023 | Mumbai, Maharashtra, India > Worked as an Associate (SDE-2) Quantitative Developer in the Risk Engineering Group, that comes under the Analytics Engineering Department. > Developed a Proof-of-Concept, gRPC interface for the Cloud-native, Microservice-based Factor Exposure API to gain performance benefits over the existing REST interface. Implemented a Recursive Descent Parser from scratch, to transform gRPC objects to custom domain objects. For similar test settings and environment, the average response time for gRPC-based requests improved by 5-70x as compared to the REST-based requests. > Developed a highly performant, scalable, Kubernetes-native utility that leverages XSLT, MD5 and colordiff to sort, hash and compare arbitrarily large batches of huge(>1 GB) XML files, and generates elaborate comparison reports and summary statistics. > Implemented a Level-2 Apache Ignite-based cache that backs the Caffeine-based in-memory, Level-1 cache. Performed extensive performance engineering and analysis to optimize cache operations and reduce memory-footprints. Improved API response time by 5x for non-Equity Instruments and by 60x for Equity-based Instruments. > Implemented logic for Exposure computation of instruments like Contract for Difference, Equity Futures Option, Equity Index Option and Equity Index Futures Option. ### Associate @ MSCI Inc. Jan 2022 – Jan 2022 | Mumbai, Maharashtra, India Associate (SDE-2) SRE within the Index Engineering Department. > I was the Lead SRE for the APAC shift, responsible for ensuring reliability and stability of Index Production Systems. > Co-developed a performance monitoring utility for Index Calculation Service, that runs daily and fetches pivotal system statistics like Execution Time, CPU Memory consumption and prepares Power BI reports for Developer Teams and Higher-level Executives. > Co-developed and then was solely responsible for maintenance of Index EUBMR Portal, an online compliance portal, that maintained an inventory of all Index Engineering Applications, Repositories, Databases, NetApp folders. This application automated the compliance activities from a bunch of Excel Sheets to a full-fledged, Azure based application backed by a Azure SQL Database, with proper backups configured. ### Analyst @ MSCI Inc. Jan 2020 – Jan 2021 | Mumbai, Maharashtra, India Junior SRE (SDE-1) within Index Engineering Department. Was promoted to an Associate within 1.5 Years, an year earlier than the traditional duration! ### Data Science Intern @ Siemens Technology and Services Private Limited (STSPL) Jan 2020 – Jan 2020 | Pune Area, India > Developed a Time Series model (Mean Absolute Percentage Error: 7.17%) for product sales prediction. > Assisted in the migration of SCM Team's reporting platform to ThoughtSpot by designing database schemas. > Modelled Product-delivery data present in SAP HANA as a Knowledge Graph using Amazon Neptune. ### Training & Placement Co-ordinator @ Bhartiya Vidya Bhavans Sardar Patel Institute of Technology Munshi Nagar Andheri Mumbai Jan 2019 – Jan 2019 ### Tech Lead, Industry Relations(IR)-Cell @ Bhartiya Vidya Bhavans Sardar Patel Institute of Technology Munshi Nagar Andheri Mumbai Jan 2018 – Jan 2019 | Mumbai Area, India ### Android Intern @ Sigmacell Infotech Jan 2018 – Jan 2018 | Kandivali-East, Mumbai Worked on the UI for the JackWorks Android App ## Education ### Master of Science - MS in Computer Science Stony Brook University ### Bachelor of Engineering - BE in Computer Engineering Bhartiya Vidya Bhavans Sardar Patel Institute of Technology Munshi Nagar Andheri Mumbai ### Junior College in Science Stream Pace Junior Science College ### St Joseph's High School,Kandivli-West ## Contact & Social - LinkedIn: https://linkedin.com/in/divyaank-tiwari - Portfolio: https://divyaankt.github.io/ --- Source: https://flows.cv/divyaank JSON Resume: https://flows.cv/divyaank/resume.json Last updated: 2026-04-11