Tommy Hughes
Principal Software Engineer at Red Hat
New Orleans, Louisiana, United States
Summary
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Rockstar🎓
Top SchoolTommy Hughes is a Principal Software Engineer based in New Orleans with 11 years of experience building cloud-native solutions focused on OpenShift, Kubernetes, and container platforms. At Red Hat he architects and delivers production-grade tooling and automation, drawing on a deep systems background developed over a long tenure at CenturyLink where he progressed from network analyst to senior engineering and team lead roles. He contributes to prominent open-source ML infrastructure—most notably Feast—working across back-end, CLI and DevOps to add feature tagging, TLS support, and deployment/release automation. Combining an MBA with a BS in Information Systems, Tommy blends technical depth with product and operational sensibility, often surfacing practical infrastructure improvements that reduce deployment friction.
11 years of coding experience
9 years of employment as a software developer
Bachelor of Science (BS), Information Systems and Decision Sciences, Bachelor of Science (BS), Information Systems and Decision Sciences at Louisiana State University and Agricultural and Mechanical CollegeMaster of Business Administration (MBA), Master of Business Administration (MBA) at Louisiana Tech University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (12)
kubernetes10
docker10
feature-store10
devops10
python10
dockers10
cicd10
kubernetes-pods10
data-engineering10
mlops9
go9
big-data8
Programming languages (12)
Github contributions (5)
feast-dev/feast
Feb 2024 - Apr 2025
The Open Source Feature Store for Machine Learning
Role in this project:
Full-stack & DevOps Engineer
Full-stack & DevOps EngineerContributions:315 reviews, 169 PRs, 47 pushes in 1 year 1 month
Contributions summary:Tommy primarily contributed to the enhancement of the Feast platform by introducing and modifying features related to tag filtering for objects and adding CLI commands for new object types. They demonstrated strong back-end skills by modifying the core functionality, including the `FeatureStore` class. Furthermore, the user showed a strong understanding of the project's infrastructure, modifying deployment and release scripts and adding support for TLS. The contributions span across back-end logic and infrastructure.
pythondata-qualitydata-sciencemlmachine-learning
RHsyseng/docker-rhel-sonarqube
Aug 2016 - Feb 2018
Contributions:1 release, 64 commits, 17 PRs in 1 year 6 months
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