Bradley Skaggs
Principal Data Scientist
Columbia, Maryland, United States
Summary
🤩
Rockstar🎓
Top SchoolRoald Severtson is an independent researcher and technical writer who combines seven years in AI/ML product documentation with decades of applied mathematics, hydrogeology, and environmental modeling experience. He has authored developer-facing content for AWS SageMaker and Braket, translating complex topics like AutoML, bias diagnosis, and quantum computing into practical guidance for data scientists. With formal training spanning Oxford modern history to graduate work in environmental engineering and conceptual foundations of science, he uniquely bridges history and philosophy of science with hands-on statistical and modeling practice. His background includes senior roles at Microsoft and Amazon and earlier leadership in forensic hydrogeology and groundwater remediation, reflecting a career that moves fluidly between field science and cloud-native ML. Notably, he frames technical problems through historiographical and philosophical lenses—examining the interplay between theory and data—which informs both his research and documentation. Based in Seattle, he brings a rare mix of quantitative rigor, narrative clarity, and environmental ethics to AI and statistics discourse.
7 years of coding experience
Bachelor's Degree, Computer Science/Applied Mathematics, Bachelor's Degree, Computer Science/Applied Mathematics at University of TulsaHigh School, High School at International School BangkokThe University of Maryland, College Park
Github Skills (18)
pytorch10
python10
machine-learning-models10
data-science10
mxnet10
machine-learning10
inference10
reinforcement-learning10
sagemaker10
amazon-sagemaker10
aws-cloudformation10
mlops10
huggingface10
deep-learning10
tensorflow10
Programming languages (2)
Github contributions (5)
aws-rbs/sagemaker-python-sdk
Dec 2019 - Jun 2022
A library for training and deploying machine learning models on Amazon SageMaker
Contributions:5 pushes, 1 branch in 2 years 6 months
amazon-sagemakermachine-learning-models
aws-rbs/amazon-sagemaker-examples
Feb 2021 - Jul 2021
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
Contributions:2 pushes, 1 branch in 5 months
amazon-sagemakerdeep-learningmachine-learningreinforcement-learning
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