Full career history.

Senior Platform Engineer

Platform engineering within Admiral Group's technology organisation, focused on cloud platform design and reliability for one of the UK's largest insurance groups.

DevOps/Platform Engineer

Owned multi-cloud platform reliability across cloud infrastructure and technical support functions, working across AWS, Azure, and GCP for production Linux and Windows workloads.

Information Technology Consultant

Ongoing IT consulting engagement covering monitoring, secrets management, and security compliance for financial-data environments.

• Deployed Prometheus and Grafana with PagerDuty integration for real-time platform health monitoring
• Enforced secrets management and encrypted environment configurations to meet security compliance requirements
• Recipient of the Award of Outstanding Contribution and Excellence (January 2026)

Cloud & DevOps Engineer

Architected and managed scalable infrastructure for AI workloads across multiple cloud and GPU providers, including CI/CD for machine learning models and production-grade AI microservice deployment.

• Architected and managed scalable infrastructure using AWS, GCP, Nebius AI, RunPod, and DigitalOcean, including Kubernetes clusters and GPU servers for AI workloads
• Collaborated with data scientists to deploy machine learning models, improving model inference speed by 25% through optimised CI/CD pipelines
• Developed and optimised CI/CD pipelines for machine learning models, ensuring automated testing and deployment
• Implemented monitoring solutions that reduced incident response time by 40%, enhancing infrastructure reliability
• Automated repetitive tasks across the ML lifecycle, from data preprocessing to model training and deployment
• Optimised AI model deployment and inference using Python, RunPod AI, TensorFlow, and AWS SageMaker, focusing on efficient GPU utilisation and cost-effective resource management
• Configured TLS/SSL certificates and secure communication for web services and API endpoints using NGINX as a reverse proxy and load balancer
• Deployed AI models as microservices with NGINX for load balancing and reverse proxying, ensuring high availability and efficient traffic distribution
• Implemented Cloudflare's CDN and security services to optimise content delivery, protect against DDoS attacks, and enhance performance and security of AI applications
• Created and managed Helm charts for deploying and managing Kubernetes applications, ensuring consistent and repeatable deployments

Volunteer Contributor

Volunteered on Nubytes, an AI-powered practice management platform for small and medium law firms.

• Supported the Nubytes product, a legal-tech ERP covering case management, accounting, documents, e-signatures, and client intake
• Contributed during an early-stage volunteer engagement focused on helping solo-to-medium law firms run matters, billing, and compliance in one platform

Infrastructure Engineer

Concurrent infrastructure engineering role supporting DFgates' hybrid deployment environment.

• Also volunteered as Cloud Facilitator and Mentor at DFgates (Feb to Oct 2025), delivering AWS training and facilitating cloud workshops for the community
• Recipient of DFgates' Award for Excellence in Training and Development (September 2025)

DevOps Support and Systems Engineer

Owned Azure infrastructure design, automation, and secure access management.

• Optimised cloud deployment costs by 20% through effective server and database management
• Worked extensively across Azure services including VMs, Blob Storage, Virtual Network, Traffic Manager, Azure DNS, Load Balancer, Queue Storage, Service Bus, Cosmos DB, Functions, CDN, Resource Manager, Monitor, Activity Log, and Storage Explorer
• Implemented secure network infrastructure within Azure VNet: subnets, network security groups, and application gateways for improved connectivity, security, and performance
• Automated Azure resource provisioning and application deployment using ARM templates, Terraform, and Ansible, reducing manual intervention
• Collaborated with development and operations teams to optimise application performance and troubleshoot issues by analysing Datadog metrics and logs
• Managed CI/CD pipelines through Azure DevOps, ensuring efficient software builds and releases
• Implemented secure access protocols using Azure IAM for role-based access control and Azure Key Vault for server-side encryption
• Conducted monitoring and alerting for system health and performance using Azure Monitor and Azure Security Center; optimised data storage through Azure Blob Storage lifecycle policies

DevOps Engineer

Designed and managed AWS cloud infrastructure and led a small engineering team delivering highly available production systems.

• Designed, developed, and managed AWS infrastructure, VPCs, subnets, security groups, route tables, EC2 instances, S3 buckets, and RDS databases
• Architected and deployed environments using EC2, S3, Lambda, VPC, Route 53, IAM, and CloudFormation
• Set up CloudWatch, CloudTrail, and other AWS monitoring/logging tools to track performance, availability, and scalability
• Supported development teams to ensure smooth integration of applications with AWS services, including incident, performance, and security troubleshooting
• Led a team of 4 engineers to architect and deploy highly available cloud infrastructure on AWS (EC2, S3, Lambda, Kubernetes), achieving 99.99% uptime and reducing infrastructure costs by 30%