Sital Kedia
Founding Engineer at Aptos
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolSital Kedia is a founding engineer based in San Francisco with 11 years of experience building high-performance backend systems across startups and large tech firms. After a multi-year technical leadership role at Facebook, Sital joined Aptos to help architect core blockchain database components, contributing notable improvements to AptosDB such as RocksDB property reporting and ledger/transaction pruners. His background spans SSD firmware and wireless protocols at Samsung, scalable sparse-matrix research at Purdue, and data-driven engineering at Quantcast, reflecting deep systems and storage expertise. Comfortable shipping production-critical infrastructure, he blends research rigor with pragmatic engineering to optimize databases and distributed stores. Sital’s work on a prominent layer-1 blockchain project highlights an interest in pushing infrastructure efficiency at the intersection of databases and decentralized systems.
11 years of coding experience
12 years of employment as a software developer
Master of Science Computer Science, Master of Science Computer Science at Purdue UniversityBachelor of Technology Computer Science & Engineering, Bachelor of Technology Computer Science & Engineering at Indian School of Mines University
Github Skills (11)
database-management10
rust10
database-design10
blockchain10
transactional9
transaction9
rocksdb9
aptos9
algorithms8
data-structures8
data-structure8
Programming languages (9)
Github contributions (5)
aptos-labs/aptos-core
Apr 2022 - Jan 2023
Aptos is a layer 1 blockchain built to support the widespread use of blockchain through better technology and user experience.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1773 reviews, 197 commits, 497 PRs in 9 months
Contributions summary:Sital's commits primarily focus on enhancing the AptosDB, a core component of the Aptos blockchain. They made improvements to the RocksDB property reporting mechanism, enabling the tracking of more properties. Furthermore, the user implemented a database pruner, with additions for the ledger store pruner, contributing to database management and efficiency. Additionally, the user made changes to the transaction store pruning functionality by adding features, demonstrating expertise in the core functionality of the blockchain database.
blockchain-platformblockchainuser-experienceblockchain-networksmart-contracts
sitalkedia/spark
Feb 2016 - Feb 2018
Contributions:1 PR, 174 pushes, 34 branches in 2 years
apachebig-datasparkscalaapache-spark
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