David Rowley

?? DevOps Engineer / Developer

?? Bridging infrastructure expertise with AI innovation. Building scalable, production-ready intelligent systems.

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About

X years in DevOps, now focused on AI development. I understand both the infrastructure that powers AI and the algorithms that drive intelligence.

My unique background enables me to build AI systems that aren't just innovative—they're scalable, maintainable, and production-ready from day one.

Infrastructure
Docker Kubernetes AWS Terraform CI/CD

Projects

Infrastructure Predictor

ML system predicting server failures and auto-scaling resources based on usage patterns.

Python TensorFlow Kubernetes
Demo Code
Log Intelligence

NLP tool categorizing log entries and prioritizing incidents, reducing response time by 60%.

BERT ElasticSearch React
Demo Code
MLOps Pipeline

End-to-end ML deployment with automated testing, monitoring, and rollback capabilities.

Kubeflow MLflow GitLab CI
Demo Code
Vision QC System

Real-time defect detection for manufacturing, deployed on edge devices with 99.2% accuracy.

PyTorch OpenCV Docker
Demo Code

Get In Touch

Ready to discuss AI infrastructure and development opportunities.

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