Mark Roy
New Hampshire, United States
Summary
🤩
Rockstar🎓
Top SchoolMark Roy is a technology leader and hands-on software architect with 20+ years of experience translating complex business needs into sustainable enterprise solutions. He specializes in applying Machine Learning and Generative AI to drive measurable business value, with deep expertise in AWS services including SageMaker and Bedrock. Known for bridging business and technology, he combines enterprise architecture, distributed systems design, and pragmatic software delivery to lead cross-functional teams to reliable outcomes. His background spans financial services, data warehousing, trading systems, healthcare, and telecommunications, giving him a strong domain lens for applied AI initiatives. An AWS-certified architect and ScrumMaster, he pairs strategic planning and people leadership with a developer’s attention to long-term maintainability. Based in New Hampshire, he emphasizes partnership with executives to make AI projects both technically sound and commercially impactful.
7 years of coding experience
Worcester Polytechnic Institute
Github Skills (61)
python10
machine-learning-models10
jupyter10
langchain10
data-science10
amazon-bedrock10
machine-learning10
inference10
reinforcement-learning10
sagemaker10
amazon-sagemaker10
mlops10
deep-learning10
aws10
generative-ai10
Programming languages (5)
Github contributions (5)
aws-samples/amazon-sagemaker-feature-store-streaming-aggregation
Dec 2020 - Dec 2020
This repo provides an end-to-end example of using streaming feature aggregation with the Amazon SageMaker Feature Store.
Contributions:33 commits, 11 pushes in 3 days
sagemakeramazon-sagemakerend-to-endaggregationamazon
markproy/sagemaker-workshop
Apr 2019 - Nov 2021
Contributions:114 commits, 139 pushes in 2 years 8 months
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