Mayank Agarwal
Senior Software Engineer at LinkedIn
Mountain View, California, United States
Summary
👤
Senior🎓
Top SchoolMayank Agarwal is a Senior Software Engineer with 13 years of experience building low-latency, scalable systems across advertising, driver logistics, and big-data control planes. Based in Mountain View, he has shipped production rule engines, driver accounting platforms, and high-throughput ad-exchange services, and now helps architect LinkedIn’s Big Data control plane. He brings deep backend and database expertise—evidenced by contributions to the popular RocksDB project, where he fixed memory leaks and improved TTL and transaction-log behavior. Comfortable designing systems from scratch, he blends pragmatic engineering with a curiosity for new domains and continuous learning. Colleagues rely on him for maintainable, change-friendly architectures that solve real-world problems at scale.
13 years of coding experience
8 years of employment as a software developer
Bachelor of Engineering (BE), Bachelor of Engineering (BE) at Jadavpur UniversitySt. Michaels School, SiliguriMatriculate, Matriculate at Delhi Public School, Siliguri
Github Skills (9)
databases10
leveldb10
c-language10
cprogramming-language10
relational-databases10
sql-database10
database10
testing9
compression9
Programming languages (2)
Github contributions (4)
facebook/rocksdb
Nov 2012 - Dec 2013
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:108 commits in 1 year 1 month
Contributions summary:Mayank contributed to the RocksDB project by modifying compression options and introducing database operations into the stress test. They implemented and fixed coding errors related to the TTL (Time to Live) feature, including merging and write functionalities, and made improvements to the transaction log iterator. Furthermore, the user introduced an API for checking leveldb::Status codes and fixed a memory leak in the table.cc file while implementing these features.
persistent-storagebigtablefast-storagelsm-treedatabase
facebookarchive/linkbench
Jan 2013 - Feb 2013
Facebook Graph Benchmark
Contributions:5 commits in 1 month
benchmarkgraph-benchmarkgraphfacebook
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