Anirban Rahut
Engineering at Facebook
Saratoga, California, United States
Summary
🤩
Rockstar🎓
Top SchoolAnirban Rahut is an experienced engineering leader with 10+ years solving large-scale distributed systems, high-availability and big data challenges across companies like Facebook and Splunk. He has built and run MySQL at Facebook scale and architected HA/DR search infrastructure and consensus-driven shared state at Splunk, bringing deep operational pragmatism to complex deployments. Earlier in his career he was a principal architect and manager at Xilinx, leading a 40-person team on FPGA device software and holding a dozen US patents, which underscores his blend of research-grade rigor and product delivery. Anirban contributes to notable open-source systems work—enhancing RocksDB tooling and internals—which reflects hands-on expertise in storage engines and database reliability. Based in Saratoga, CA with an IIT Kanpur B.Tech and a Stanford M.S., he pairs broad computer science foundations with a knack for shepherding products from algorithmic design to production. He is known for tackling subtle correctness and scalability problems that others often leave to operational workarounds.
10 years of coding experience
16 years of employment as a software developer
Indian Institute of Technology KanpurMaster’s Degree, Electrical and Electronics Engineering, Master’s Degree, Electrical and Electronics Engineering at Stanford University
Github Skills (17)
storage-engine10
c-language10
databases10
wal10
cprogramming-language10
relational-databases10
sql-database10
database10
testing9
pac9
pact9
data-structures8
data-structure8
debug8
algorithms8
Programming languages (2)
Github contributions (5)
facebook/rocksdb
Jun 2016 - Jun 2017
A library that provides an embeddable, persistent key-value store for fast storage.
Role in this project:
Back-end Developer & Database Engineer
Back-end Developer & Database EngineerContributions:11 commits, 6 PRs, 50 pushes in 1 year
Contributions summary:Anirban's contributions primarily focus on enhancing RocksDB's internal workings. They added a test to verify the contiguous nature of Write-Ahead Log (WAL) files during truncation and implemented new statistics related to single deletes during compaction, including identifying mismatches and fallthrough situations. Furthermore, the user enhanced the `sst_dump` tool by adding the ability to parse internal keys. The user also guarded against an extra fallocate call with TRAVIS due to potential file system inconsistencies.
persistent-storagebigtablefast-storagelsm-treedatabase
stone1100/rocksdb
Aug 2016 - Oct 2016
Contributions:24 commits in 2 months
fast-storagedatabasekey-value-storestoragepersistent
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