Alex Schultz

Principal Program Manager, Oracle Cloud Infrastructure

Atlanta, Georgia, United States
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Summary

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Senior
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Top School
Alex Schultz is a Principal Program Manager at Oracle Cloud Infrastructure with 11 years of cross-functional experience blending data science, program management, and operational analytics. He builds data-driven solutions end-to-end—forecasting models, ML pipelines, and visualization dashboards—while coaching teams to deliver against strategic metrics. Prior roles at Alaska Airlines and General Assembly showcase a mix of hands-on engineering (Python, SQL, Docker) and instructional experience in ML, NLP, and time-series forecasting. Alex has production MLOps experience deploying training environments and automation for AWS DeepRacer, reflecting practical skills in containerization and cloud orchestration. He pairs a finance-backed analytical foundation with a track record of improving operational KPIs (e.g., on-time performance and customer satisfaction) and a curiosity for image recognition and neural nets. Based in Atlanta, he’s known for translating complex models into actionable business outcomes and fostering collaborative teams.
code11 years of coding experience
job8 years of employment as a software developer
bookCertificate Data Science Immersive, Certificate Data Science Immersive at General Assembly
bookBachelor of Arts (BA) Economics, Bachelor of Arts (BA) Economics at Seattle University
languagesArabic
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Stackoverflow

Stats
39reputation
17kreached
6answers
2questions
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Github Skills (21)

docker10
python10
bash10
containerization10
dockers10
aws10
amazon-s310
aws-s310
s3-bucket10
cicd9
machine-learning9
tensorflow8
azure6
azure-container-instances6
darknet6

Programming languages (8)

TypeScriptC#ShellCJavaScriptJupyter NotebookRubyPython

Github contributions (5)

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Creates an AWS DeepRacing training environment which can be deployed in the cloud, or locally on Ubuntu Linux, Windows or Mac.
Role in this project:
userMLOps Engineer
Contributions:31 commits, 13 PRs, 29 pushes in 6 months
Contributions summary:Alex primarily focused on setting up and configuring the infrastructure for training and evaluating machine learning models within an AWS environment, likely for the DeepRacer project. Their contributions included creating scripts for starting, stopping, and analyzing training runs, as well as developing scripts for model upload. They implemented the use of Docker and Docker Compose for containerization and orchestration, managing the interaction with AWS services like S3.
awslinuxubuntuwindows
alexschultz/ReadToMe

Feb 2018 - Sep 2019

Contributions:37 commits, 24 pushes, 1 branch in 1 year 7 months
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