Manish Jain
Principal Engineer at struct.org
San Francisco, California, United States
Summary
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Rockstar🎓
Top School
Top expert inGo Programming Ecosystem and Distributed Systems Technology
Manish Jain is a Principal Engineer in San Francisco with 10 years of experience building high-performance databases and distributed systems. As solo founder and CEO of Dgraph Labs he grew the company from 0 to $1M ARR and led a 50+ distributed engineering team while authoring open-source projects Dgraph, Badger, Ristretto and sroar — with Badger used by NYTimes and IPFS and Dgraph uniquely Jepsen-tested for transactional guarantees. He designs for extreme performance and efficiency, contributing low-level optimizations like AES-hash tinyLFU admission, bloom filters, value-log engineering, and memory-allocation reductions across caches and KV engines. More recently he founded Struct, a real-time AI-enabled chat platform that turns conversations into searchable knowledge, and now focuses on databases at Uber.
10 years of coding experience
16 years of employment as a software developer
Bachelors, Computer Engineering, Bachelors, Computer Engineering at Nanyang Technological University
Stackoverflow
146reputation
6kreached
3answers
0questions
Github Skills (41)
key-value-database10
caching10
algorithms10
performance-monitor10
key-value-store10
tracer10
databases10
distributed-systems10
file-io10
data-base10
performanceanalysis10
data-structure10
keyvalue10
go10
performance-optimization10
Programming languages (18)
Github contributions (5)
hypermodeinc/ristretto
Feb 2019 - Aug 2021
A high performance memory-bound Go cache
Role in this project:
Back-end Developer & Performance Engineer
Back-end Developer & Performance EngineerContributions:17 reviews, 123 commits, 33 PRs in 2 years 6 months
Contributions summary:Manish primarily focused on optimizing the performance of the Go cache library. They implemented a bloom filter and a faster AES hash function to improve the cache's efficiency. Additionally, the user refactored and simplified existing code, changed naming, and modified the codebase to use AESHash for the tinyLFU admission policy, replacing a custom doorkeeper bloom filter. These changes indicate a focus on improving the core functionality and efficiency of the cache.
golangmemorylrugo-cachego
hypermodeinc/dgraph
Aug 2015 - Nov 2021
high-performance graph database for real-time use cases
Role in this project:Back-end Developer
Back-end DeveloperContributions:4 releases, 155 reviews, 1246 commits in 6 years 3 months
Contributions summary:Manish focused on optimizing the posting list functionality within the high-performance graph database. They refactored the list implementation using iterators to simplify mutation layer logic. The user also improved the database's performance by introducing techniques to reduce memory allocations and handle the efficient stream-based data processing, including leveraging the new stream framework. Their work involved refactoring and optimizing memory handling in crucial database components.
graphql-serverproductiondatabasegolanggraphql-database
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