Matt Stancliff
High-Performance Distributed Systems And AI Informatics Consultant
Los Angeles, California, United States
Summary
🤩
Rockstar🎓
Top SchoolMatt Stancliff is a high-performance distributed systems and AI informatics consultant with 16+ years building scalable, cost-efficient infrastructure and platforms that serve billions of users. He blends hands-on systems programming (notably contributions to Redis, KeyDB, and hiredis) with product-focused engineering to deliver reliable, low-cost, high-throughput services and developer tooling. As a longtime open-source maintainer and former founder, he has shipped optimizations used in large tech stacks—from space station sensor pipelines to globally distributed databases—and fixes that improved cluster stability and memory safety. Now focused on combining AI-driven developer productivity tools with strong observability, security, and change-control practices, he helps teams implement features in days rather than months. Based in Los Angeles, he pairs deep Unix-shell experience (100,000+ hours) with a pragmatic leadership approach aimed at senior roles that drive transformational infrastructure value.
16 years of coding experience
14 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Georgia Institute of Technology
Github Skills (37)
debug10
redis10
net10
memory-management10
cluster-computing10
c1110
networking10
ruby10
c1710
socket10
performance-optimization10
cluster-manager10
cluster-api10
error-handling10
web-development10
Programming languages (15)
Github contributions (5)
redis/redis
Feb 2014 - Feb 2015
Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:335 commits, 22 PRs, 148 comments in 1 year
Contributions summary:Matt primarily contributed to improving the Redis CLI tool, specifically by adding features such as slave mode activation through SYNC commands, and updating error reporting for address binding issues. Their work extended to improving the Redis cluster functionality by addressing issues like more efficient port usage, source IP binding for cluster communication, and adding the CLUSTER SLOTS command. Furthermore, the user fixed a number of memory leaks, potential crash conditions, and inconsistencies in the codebase, suggesting a focus on stability and code quality.
memorystreamsin-memory-databasememory-databasedata-model
redis/hiredis
Apr 2014 - Feb 2015
Minimalistic C client for Redis >= 1.2
Role in this project:Back-end Developer
Back-end DeveloperContributions:29 commits, 21 PRs, 9 pushes in 10 months
Contributions summary:Matt primarily focused on improving the hiredis library, a C client for Redis. Their contributions involved refactoring and enhancing the socket management code, addressing potential issues related to closing file descriptors and implementing features like binding to source addresses during connection. Furthermore, the user fixed memory leaks and addressed build issues under Solaris, enhancing the library's stability and portability. They also improved digit counting for multibulk creation and added functionality to free hiredis formatting.
redisminimalisticredis-client
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