Saurabh Tandan is a distributed systems and infrastructure engineer with a decade of experience building and hardening storage and test frameworks for large-scale systems. He has driven testing infrastructure and performance validation for DAOS at Intel, contributing extensive unit and integration tests that improved reliability for NVMe and PMEM-backed storage stacks. Now at Hewlett Packard Enterprise, he brings deep expertise in storage testing tools (ior, mdtest, fio, dbench) and a practical background in Lustre and object storage performance. His work often bridges hands-on test automation, performance benchmarking, and subtle protocol behaviors—skills honed by instrumenting asynchronous container operations and pool services. Based in Chandler, Arizona, he pairs advanced systems knowledge with a strong academic foundation (MS in Software Engineering) and a track record of turning complex storage behaviors into reproducible test suites. An eye for testability and robustness distinguishes him: he not only finds bugs but builds the scaffolding that prevents them from recurring.
10 years of coding experience
10 years of employment as a software developer
Master's of Science Computer Software Engineering, Master's of Science Computer Software Engineering at Arizona State University
Laxman Public School, New Delhi
Bachelor's of Technology Computer Science, Bachelor's of Technology Computer Science at Guru Gobind Singh Indraprastha University
DAOS Storage Stack (client libraries, storage engine, control plane)
Role in this project:
Backend & Test Automation Engineer
Contributions:1 release, 572 reviews, 350 commits in 4 years 7 months
Contributions summary:Saurabh primarily focused on enhancing the testing infrastructure and expanding the test suite for the DAOS project. Their contributions involved adding new unit tests for the Extent Allocator, implementing a new option to exclude tests from the `daos_test` utility, and adding tests to check containers' asynchronous functions. Furthermore, they created and modified tests for various data operations, container open/close functionality, pool services, and data verification. Their work also included restructuring code, correcting test behavior, and improving the overall quality and robustness of the DAOS test framework.
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Saurabh Tandan - Software Engineer at Hewlett Packard Enterprise