DevOps and Platform Engineer with 5+ years of experience building and securing cloud-native platforms across regulated industries — including financial services, healthcare, and AI/ML.
I specialise in CI/CD frameworks, Infrastructure as Code, Kubernetes platforms, and DevSecOps at enterprise scale. Currently modernising cloud-native AI platforms (MLOps) at a UK technology firm.
- 🏢 Now: DevOps / AI Platform Engineer — MLOps & Cloud-Native AI at TechNextGen, UK
- 🏦 Previously: Azure DevOps Engineer — Tier-1 UK Banking Transformation at PwC
- 🏥 Previously: DevOps Engineer — Regulated Healthcare Cloud Platform at Elekta
- 🎓 MSc Computer Science — University of Hertfordshire, UK
- 📍 Based in Glasgow, Scotland, UK
- 🚀 Open to DevOps / Platform Engineering / SRE / MLOps roles (UK & Remote)
Cloud-native AI platform modernisation — MLOps & platform engineering for enterprise AI workloads on multi-cloud.
- Architected CI/CD/CT pipelines using GitHub Actions to automate LLM & GenAI model training, evaluation, packaging, and deployment on AWS SageMaker and GCP Vertex AI
- Built and maintained Kubernetes (EKS) platform for AI/ML workloads — GPU scheduling, namespace isolation, RBAC, and Helm-based deployment patterns across dev/staging/prod
- Leveraged GCP (Cloud Run, Cloud Functions, BigQuery, Cloud SQL) for scalable AI pipeline orchestration, reducing infrastructure overhead and improving MLOps throughput
- Standardised platform observability using Prometheus, Grafana & Datadog with SLO-based alerting for model performance drift and pipeline failures
- Authored Terraform & CloudFormation modules for EKS, VPCs, IAM roles, ALBs, and SageMaker workspaces — enabling self-service environment provisioning
- Implemented FinOps controls: AWS Cost Explorer tagging, budget alerts, chargeback/showback dashboards, and reserved instance recommendations for AI GPU workloads
- Integrated DevSecOps controls: Semgrep (SAST), SonarQube, SBOM generation, and AWS Secrets Manager for supply chain security
Delivery framework engineering for a UK Tier-1 bank — regulated CI/CD at scale, governance by design, and operational resilience.
- Engineered enterprise-scale CI/CD pipeline frameworks using Azure DevOps & GitHub Actions — reusable YAML templates adopted by 20+ development teams, improving deployment frequency and reducing build time by ~40%
- Implemented governance by design: protected branches, immutable artefact retention, approval gates, SoD controls, and audit trail logging aligned with FCA operational resilience requirements
- Deployed and maintained Terraform-managed Azure landing zones — hub-spoke networking, Entra ID integration, RBAC, and environment separation (dev/uat/prod)
- Automated Kubernetes (AKS) deployments using Helm and GitOps with Argo CD for drift detection — achieving 80%+ automated release coverage
- Embedded DevSecOps controls: secret scanning, dependency auditing, SAST, DAST, container scanning, and policy-as-code guardrails (NCSC cloud security aligned)
- Led observability standardisation: Prometheus, Grafana, and Azure Monitor alerting standards with on-call playbooks and rollback mechanisms, contributing to measurable MTTR reduction
Cloud modernisation of Elekta Axis Cloud — Azure-hosted, security-first oncology informatics platform (regulated healthcare).
- Delivered Azure cloud modernisation programme — designed Azure landing zones using Terraform (hub-spoke networking, AKS, Key Vault, ACR) replacing legacy on-premise infrastructure
- Built and managed AKS container platform: cluster provisioning, namespace RBAC, Ingress (nginx/AGIC), TLS management, Helm chart standards, and Kubernetes upgrade runbooks
- Established CI/CD pipelines for application and infrastructure delivery using Azure Pipelines — Terraform plan/apply gates, image scanning, and mandatory approval gates
- Implemented DevSecOps controls for regulated healthcare: Key Vault integration, RBAC audit trails, controlled change processes, and pipeline-enforced compliance checks
- Introduced monitoring stack (Prometheus, Grafana, Azure Monitor) with availability SLOs and incident response runbooks for critical oncology workloads
DevOps foundations — CI/CD, environment automation, and Infrastructure as Code for multi-application delivery.
- Designed and maintained CI/CD pipelines using Jenkins and GitHub Actions — reducing manual release effort and improving deployment consistency across teams
- Provisioned and managed AWS infrastructure (EC2, VPC, IAM, S3, RDS, ALB) using Terraform and CloudFormation, eliminating configuration drift across dev/test/prod
- Containerised workloads using Docker and deployed to AWS ECS/EKS — introduced Kubernetes-based deployment patterns for scalable application delivery
- Wrote Bash and Python automation scripts for environment setup, deployment pipelines, and operational tasks — measurably reducing manual toil
MSc Computer Science — University of Hertfordshire, UK (Jan 2021 – Jul 2022)
| Metric | Impact |
|---|---|
| 🚀 CI/CD Adoption | Delivered reusable pipeline templates adopted by 20+ teams at a Tier-1 UK bank |
| ⚡ Build Time | Reduced pipeline build time by ~40% through YAML template standardisation |
| 🤖 Automation | Achieved 80%+ automated release coverage across service domains using GitOps |
| 🏥 Regulated Delivery | Modernised cloud platform for oncology informatics in regulated healthcare |
| 🧠 MLOps | Built end-to-end CI/CD/CT pipelines for LLM & GenAI workloads on SageMaker & Vertex AI |
| 💰 FinOps | Implemented GPU cost optimisation controls with chargeback/showback dashboards |
| Industry | Experience |
|---|---|
| 🏦 Financial Services | Tier-1 UK Banking — PwC (FCA Regulated) |
| 🏥 Healthcare | Oncology Informatics — Elekta (NHS/Regulated) |
| 🤖 AI / MLOps | GenAI & LLM Platforms — TechNextGen |
"Infrastructure is not just code — it's the foundation teams build upon. I make that foundation fast, secure, and reliable."