Paul Welch
Machine Learning Engineer at SDI LLC
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolPaul Welch is a Machine Learning Engineer and seasoned IT leader with over 20 years of experience designing and operating secure, highly available enterprise infrastructure across cloud and hybrid environments. He has a track record of translating business needs into ROI-driven IT transformation—implementing Zero Trust architectures, achieving 99.99% uptime, and ensuring compliance with ISO 27001, NIST, and SOC 2. Paul blends hands-on networking, cloud (Azure/AWS), virtualization, and M365 expertise with leadership of high-performance teams and vendor strategy across distributed sites. Lately he’s focused on machine learning, containers, microservices, and DevOps, pairing modern ML deployment patterns with a deep operational background. Based in Seattle, he brings a pragmatic, security-first approach informed by prior cyber operations in the U.S. Air Force and a history of building SOPs, runbooks, and automated observability that keep systems resilient in production.
11 years of coding experience
8 years of employment as a software developer
Bachelor of Science Information Technology Management, Information Technology, Bachelor of Science Information Technology Management, Information Technology at WGU Washington
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (19)
graph8
terraform7
aws7
command-line-utility7
terraform-module5
devops5
infrastructure-as-code5
declarative5
infrastructure5
kube-state-metrics5
hashicorp4
kubernetes-cluster4
cluster-manager3
kubernetes3
hcl3
Programming languages (2)
Github contributions (5)
paulwelch/kubestate
Sep 2018 - Jul 2019
Command line utility to show resource states in your kubernetes cluster using kube-state-metrics
Contributions:1 release, 53 commits, 2 PRs in 10 months
kubecommand-line-utilitykuberneteskubernetes-clustercluster
paulwelch/paulwelch.github.io
Apr 2015 - Jul 2024
Contributions:24 pushes, 1 branch in 9 years 4 months
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