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daie
Data & Artificial Intelligence Engineering
by Godwin AMEGAH — Cloud & ML Engineer
Building production-grade ML systems and sharing knowledge on cloud-native data engineering, scalable AI architectures, and modern MLOps practices.
Topics I cover
Machine LearningCloud ArchitectureMLOpsDeep LearningData Engineering
Featured Projects
Recent work in ML and cloud engineering
coming-soonData and Mlops engineering with Azure and Databricks
Data engineering and MLOps project using Azure Databricks for scalable data processing and machine learning workflows.
azuredatabricksdata-engineering
coming-soonHealthyLife
Agentic AI-powered health and wellness platform for personalized lifestyle recommendations
google-cloud-platformNext.jsagent-development-kit
End-to-End AWS Real-time Fraud Detection
Fraud detection system using machine learning models deployed on AWS for real-time transaction monitoring.
awsterraform
View ProjectLatest Articles
Thoughts on ML, AI, and cloud engineering
LatestAWS Chalice: Build Serverless APIs on AWS
A simple and efficient way to build serverless APIs on AWS using Python with AWS Chalice.
#aws#chalice
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Exploring STC: Self-training approach for short text clustering explained
An Intuitive Introduction to Self-training approach for short text clustering.
#machine-learning#deep learning
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Exploring SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
SimCLR is a framework that leverages contrastive learning to improve visual representations.
#machine-learning#deep learning
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About the Author
Want to learn more about who's behind daie? Discover my background, experience, and approach to data and AI engineering.