Rain Valentine
SDE-II at Amazon Web Services (AWS)
Redmond, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolRain Valentine is a pragmatic SDE-II with nine years of experience building and optimizing large-scale systems across Microsoft and AWS, currently focused on in-memory databases like Valkey and ElastiCache. At Microsoft they modernized telemetry, removed deprecated memory managers, reduced build RAM by 19%, and drove accessibility and security fixes across Office releases, showing a blend of deep systems work and cross-team collaboration. At AWS they contribute backend performance improvements to a distributed key-value datastore, replacing data structures and fixing ACL regressions to boost lookup speed and memory efficiency. Rain combines low-level performance tuning with practical product-minded engineering, and has a history of translating legacy features into modern, maintainable implementations. Based in Redmond, they bring both research-era tooling experience and production-grade operational rigor to high-throughput, realtime workloads.
9 years of coding experience
7 years of employment as a software developer
Bachelor of Arts - BA, Computer Science, 3.5 GPA, Bachelor of Arts - BA, Computer Science, 3.5 GPA at Iowa State University
Github Skills (15)
c1710
hashtable10
caching10
databases10
hash10
key-value-store10
c1110
disk-cache10
object-cache10
memory-cache10
web-cache10
performance-optimization10
redis10
database10
system-design9
Programming languages (4)
Github contributions (5)
valkey-io/valkey
Apr 2024 - Mar 2025
A flexible distributed key-value datastore that is optimized for caching and other realtime workloads.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:66 reviews, 16 PRs, 83 comments in 11 months
Contributions summary:Rain primarily focused on optimizing the Valkey key-value datastore, specifically concentrating on improving performance. Their contributions included replacing dictionary implementations with hashtables for command tables and sets to enhance lookup speeds and reduce memory usage. They also addressed and fixed a regression issue related to ACLs, which was caused by the conversion of command tables to hashtables. Moreover, the user implemented code defrag fixes within the codebase.
cachedatabasekey-valuekey-value-storenosql
SoftlyRaining/valkey
Sep 2024 - Mar 2025
A flexible distributed key-value datastore that supports both caching and beyond caching workloads.
Contributions:99 pushes, 30 branches in 5 months
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