Scalable Infrastructure & AI
MLOps Architect.
Specializing in the deployment and automation of high-performance machine learning systems within secure cloud environments.
Introduction
Engineering the future of intelligent infrastructure.
I am a technology professional with a unique academic background, holding an MS in IT and currently completing a Master of Science in Artificial Intelligence. My focus lies at the intersection of enterprise reliability and cutting-edge data science.
I bridge the gap between model development and production-ready scaling, ensuring that AI systems are not only accurate but also robust and highly available.
Core Expertise
Cloud Automation
Advanced implementation of Terraform, Kubernetes, and secure AWS/GCP architectures.
MLOps Lifecycle
Streamlining model training, automated deployment, and real-time drift monitoring.
Architecture
Production MLOps Blueprint
My standard architectural approach to model lifecycle management, integrating CI/CD with automated validation layers.
This architectural visualization demonstrates standard deployment workflows for distributed AI systems, focusing on data reliability and model versioning.
Technical Arsenal
Cloud & DevOps
MLOps & AI
Engineering
Case Studies
Proven results in automation and research.
Infrastructure
GCP MLOps Pipeline
Automated deployment architecture for neural networks on GKE using Terraform for rapid, repeatable infrastructure provisioning.
VIEW GITHUBResearch
Domain LLM Fine-Tuning
Specialized AI research focusing on LoRA techniques to adapt open-source large language models to specific industry datasets.
READ PAPERAcademic Foundation
M.S. in Artificial Intelligence
University of the Cumberlands
M.S. in Information Technology
University of the Cumberlands