Ashish Negi
Senior Software Engineer at MongoDB
Pflugerville, Texas, United States
Summary
🤩
Rockstar🎓
Top SchoolAshish Negi is a Senior Software Engineer with 13 years of experience building high-performance back-end systems and distributed databases, currently contributing at MongoDB after several impactful years on Reliable Collections and Service Fabric at Microsoft. He writes production code in C++, Go, C#, and Clojure, and is a passionate practitioner of functional programming, having experimented regularly with Clojure, Rust, and Haskell. His open-source work includes performance-focused optimizations for the Dgraph graph database—adding early termination, cache-aware loops, and benchmarks to measurably improve list intersection logic. Known for seeking simplicity and “relaxed focus,” he applies cross-domain learnings and pet projects to practical engineering problems. Based in Pflugerville, Texas, he combines deep systems expertise with a curiosity-driven approach to concurrency and distributed systems.
12 years of coding experience
6 years of employment as a software developer
Kendriya Vidyalaya SangathanBachelor of Technology (B.Tech.), Computer Engineering, Bachelor of Technology (B.Tech.), Computer Engineering at National Institute of Technology Kurukshetra
English, Hindi, Japanese
Stackoverflow
5,223reputation
463kreached
43answers
203questions
algorithm
top-5%
complexity-theory
top-5%
Github Skills (21)
algorithm10
algorithms10
databases10
data-structure10
go10
performance-optimization10
data-structures10
database10
testing9
complexity-theory9
distribute8
knowledge-graph7
remoting6
azure-service-fabric6
depth-first-search6
Programming languages (21)
Github contributions (5)
hypermodeinc/dgraph
Dec 2016 - Mar 2017
high-performance graph database for real-time use cases
Role in this project:
Back-end Developer & Database Engineer
Back-end Developer & Database EngineerContributions:39 commits, 68 PRs, 246 pushes in 3 months
Contributions summary:Ashish made several optimizations to the intersection logic within the Dgraph database, specifically focusing on improving the performance of list intersection operations. This included implementing early termination conditions and optimizing cache usage through double-looping. Furthermore, the user added benchmarks to evaluate the performance improvements of the changes made to the `IntersectWith` function and benchmarked various datasets to identify future improvement areas. They also modified and added tests for ensuring correctness of data structures.
graphql-serverproductiondatabasegolanggraphql-database
ashishnegi/perfds
Mar 2020 - Mar 2020
Contributions:31 commits, 19 pushes, 1 branch in 18 days
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