Cody Rioux
Board Member at Piloto 151
United States
Summary
🤩
Rockstar🎓
Top SchoolCody Rioux is a distributed systems and data science engineer with 14 years of experience building and operating large-scale, real-time streaming platforms. He spent a decade-plus at Netflix driving real-time analytics, edge engineering, and data platform work and later led observability efforts as Staff Software Engineer at Stripe. Cody contributes to high-profile open-source projects like Netflix/mantis, where he upgraded MQL components and added RPS metrics to improve performance and autoscaling for realtime applications. Now serving as a board member for Piloto151 and PilotoMail, he’s applying cloud-native and SaaS expertise to modernize virtual office and mail-management services. Known for bridging deep backend coding with operational reliability, he pairs hands-on dependency and query-language fixes with a pragmatic focus on observability in Netflix-scale environments.
14 years of coding experience
11 years of employment as a software developer
Computer Systems Techology Computer Programming, Computer Systems Techology Computer Programming at NAIT (Northern Alberta Institute of Technology)Bachelor of Science (BS) Computer Science, Bachelor of Science (BS) Computer Science at The University of Lethbridge
English
Stackoverflow
3,744reputation
1.4mreached
49answers
12questions
addeventlistener
top-5%
user-input
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ubuntu
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memory-leaks
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foreach
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Github Skills (22)
back-end-development10
clojure-cli10
java10
clojure10
javas10
backend10
ubuntu9
memory-leaks9
autoscaling9
foreach9
user-input9
addeventlistener9
performance-monitoring8
micro7
microservices7
Programming languages (6)
Github contributions (5)
Netflix/mantis
Jun 2019 - May 2022
A platform that makes it easy for developers to build realtime, cost-effective, operations-focused applications
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 release, 56 reviews, 91 commits in 2 years 10 months
Contributions summary:Cody primarily focused on modifying and upgrading MQL (Mantis Query Language) components within the `mantis/netflix` repository. They updated MQL references for mql-jvm 3.x, fixed query and Clojure version mismatches, and upgraded mql-jvm to 3.2.+ and 3.4.+ with shaded Clojure, indicating a deep understanding of the MQL codebase and its dependencies. Furthermore, the user added RPS metrics and enhanced ClutchExperimental to incorporate it, demonstrating a focus on performance and autoscaling within the Mantis platform.
realtimeeffectivefor-developersfocusedcost-effective
Netflix/mantis-mql
Jun 2019 - May 2022
Contributions:34 commits, 2 PRs, 24 pushes in 2 years 10 months
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