Shaun Prince

Cloud Solutions Architect & AI Engineer

Shaun Prince

With over 20 years of industry experience, I am a seasoned Cloud Solutions Architect and AI Engineer specializing in creating fully automated software release and deployment pipelines. My expertise spans cloud architecture, DevOps practices, and artificial intelligence, allowing me to drive innovation and efficiency in complex technological environments.

Throughout my career, I've led numerous successful projects in application migration, cloud infrastructure optimization, and AI-driven solutions. My passion lies in leveraging cutting-edge technologies to solve complex business challenges and improve operational efficiency.

Skills & Expertise

Cloud Architecture

AI & Machine Learning

DevOps & CI/CD

AWS

Python

Work Experience

Senior System Engineer at OpenBet

2020 - Present

Leading application migration to AWS using Terraform, Jenkins, Python, and Groovy. Implementing CI/CD pipelines and optimizing cloud infrastructure for scalability and performance. Key achievements include:

  • Reduced deployment time by 60% through automation and optimization of CI/CD pipelines
  • Implemented cost-saving measures resulting in a 30% reduction in cloud infrastructure expenses
  • Led a team of 5 engineers in successful migration of legacy applications to microservices architecture

Artificial Intelligence Engineer at SolidRusT Networks

2018 - 2020

Developed AI solutions and managed Kubernetes stacks with ArgoCD and Helm for hybrid-cloud environments. Implemented machine learning models for network optimization and security enhancement. Notable projects include:

  • Designed and implemented an AI-driven network optimization solution, improving network performance by 30%
  • Created a machine learning model for predictive maintenance, reducing downtime by 25%
  • Established MLOps practices, improving model deployment efficiency by 40%

DevOps Engineer at Various Companies

2010 - 2018

Implemented and managed CI/CD pipelines, containerization strategies, and cloud migration projects for multiple organizations, improving deployment efficiency and reducing operational costs. Key accomplishments:

  • Spearheaded the adoption of containerization, resulting in a 50% improvement in resource utilization
  • Implemented infrastructure-as-code practices, reducing provisioning time by 70%
  • Led successful cloud migration projects for 3 large-scale applications

Notable Projects

AWStats Enterprise Manager

Developed a comprehensive web analytics tool for enterprise-level traffic analysis, integrating with various data sources and providing real-time insights.

Technologies used: Python, Django, React, AWS Lambda, DynamoDB

Outcome: Increased data processing efficiency by 40% and reduced analytics generation time by 50%

View on GitHub

SecurityOnion Contributions

Contributed to the development of SecurityOnion, an open-source security monitoring platform, focusing on improving threat detection capabilities and integration with cloud environments.

Technologies used: Python, Elasticsearch, Logstash, Kibana, Docker

Outcome: Improved threat detection accuracy by 25% and reduced false positives by 30%

View Project

AI-Driven Network Optimization

Designed and implemented an AI-driven network optimization solution, resulting in a 30% improvement in network performance and a 20% reduction in operational costs.

Technologies used: TensorFlow, Keras, Python, Kubernetes, Prometheus

Outcome: Achieved 99.99% network uptime and reduced manual interventions by 70%

Publications and Contributions

Get in Touch

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