San Jose, CA, United States of America

Cody Mitchell Rioux

This inventor holds 2 USPTO granted patents. Top assignee: Netflix Inc.. Active years: 2023-2024.


% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 6(Granted Patents)


Location History:

  • San Francisco, CA (US) (2023)
  • San Jose, CA (US) (2024)

Company Filing History:


Years Active: 2023-2024

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2 patents (USPTO):Explore Patents

Title: Cody Mitchell Rioux: Innovator in Anomaly Detection Technologies

Introduction

Cody Mitchell Rioux is a prominent inventor based in San Jose, CA. He has made significant contributions to the field of anomaly detection within distributed computing systems. With a total of 2 patents, Rioux has developed innovative solutions that enhance the reliability and performance of complex systems.

Latest Patents

Rioux's latest patents include groundbreaking technologies such as "Scalable and Real-Time Anomaly Detection" and "Server Outlier Detection." The first patent provides techniques for detecting anomalies across various components within a distributed computing system. This system retrieves event data from real-time streams and computes a failure metric to generate alerts when anomalies are detected. The second patent focuses on identifying and remediating outlier servers in a distributed computer system. It involves analyzing time-series data sets to determine which servers deviate from expected performance metrics.

Career Highlights

Cody Mitchell Rioux is currently employed at Netflix Inc., where he applies his expertise in anomaly detection to improve system performance and reliability. His work is crucial in ensuring that the streaming service operates smoothly, even under varying conditions.

Collaborations

Some of his notable coworkers include Arthur Gonigberg and Michael Lloyd Cohen. Their collaborative efforts contribute to the innovative environment at Netflix Inc., fostering advancements in technology.

Conclusion

Cody Mitchell Rioux stands out as an influential inventor in the realm of anomaly detection technologies. His patents reflect a commitment to enhancing the efficiency of distributed computing systems.

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