Maysam Yabandeh
Software Engineer at Snowflake
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolMaysam Yabandeh is a software engineer with 10 years of industry experience based in San Francisco, currently building data systems at Snowflake after multi-year engineering stints at Facebook, Dropbox, and Twitter. He brings deep expertise in low-level systems and storage internals, evidenced by substantive contributions to the widely-used RocksDB project—implementing performance-sensitive features like PositionedAppend and write throttling controls. With a PhD in Computer Science from EPFL and prior research roles at Yahoo! and QCRI, he blends rigorous academic background with production-grade engineering. Colleagues can expect a developer who excels at optimizing database mechanics and transactional code paths while navigating large-scale, high-throughput environments.
10 years of coding experience
12 years of employment as a software developer
Bachelor's degree, Computer Engineering, 17.62 / 20, Bachelor's degree, Computer Engineering, 17.62 / 20 at University of TehranSampadDoctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at EPFL
Github Skills (12)
data-structures10
databases10
c-language10
concurrent10
cprogramming-language10
performance-optimization10
data-structure10
concurrency10
database10
multithreading9
memory-management9
filesystem8
Programming languages (3)
Github contributions (5)
facebook/rocksdb
Nov 2016 - Jan 2020
A library that provides an embeddable, persistent key-value store for fast storage.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:2 releases, 391 commits, 369 PRs in 3 years 2 months
Contributions summary:Maysam primarily focused on implementing and optimizing core database features within the RocksDB repository. Their contributions involved enhancing data storage capabilities by implementing PositionedAppend for PosixWritableFile and adding WriteOptions.no_slowdown to handle write requests more efficiently. They also improved the internal structure and mechanics of the transaction handling code. The contributions show a focus on low-level system performance and database internals.
persistent-storagebigtablefast-storagelsm-treedatabase
maysamyabandeh/rocksdb
Nov 2016 - Jan 2020
A library that provides an embeddable, persistent key-value store for fast storage.
Contributions:691 pushes, 329 branches in 3 years 3 months
lmdbnosql-databasefast-storagepersistentstorage
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