Ryan Soley
Lead Machine Learning Engineer at Capital One
Philadelphia, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolRyan Soley is a Lead Machine Learning Engineer with nine years of experience building and scaling ML infrastructure at Capital One, where he focuses on tooling, model monitoring, and deployment using Python, Dask, and Kubernetes. He maintains the open-source rubicon-ml project and regularly teaches workshops internally and at conferences like PyCon and Dask Summit, bridging hands-on engineering with developer enablement. Currently pursuing an MS in Computer Science at Georgia Tech with an ML specialization, he blends academic rigor with practical production experience. Early career roles at IBM and Delphi show a history of shipping backend systems, automation, and data-focused tooling, reflecting a knack for turning research-grade ideas into reliable operational workflows.
10 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Penn State UniversityMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at Georgia Institute of Technology
Github Skills (13)
cloud-foundry8
cf-cli7
openstack6
object-storage6
ipfs6
cli5
python5
rackspace-cloud-files4
go-language2
swift2
golang2
openstack-swift1
scala1
Programming languages (3)
Github contributions (5)
ibmjstart/cf-object-storage
Sep 2016 - Dec 2016
A CloudFoundry plugin for interacting with OpenStack Object Storage
Contributions:3 releases, 196 commits, 7 PRs in 2 months
cloud-foundryobject-storageopenstack
ibmjstart/cf-download
Aug 2016 - Nov 2016
A Cloud Foundry cli plugin for downloading your application contents after staging
Contributions:1 release, 18 commits, 6 PRs in 2 months
clicloud-foundry
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