Professional Experience

4+ years building internal platforms, observability frameworks, and MLOps pipelines

My professional journey as a Platform, DevOps, SRE & MLOps Engineer spans fintech, AI/ML startups, and enterprise organizations. I specialize in building internal developer platforms, implementing comprehensive observability solutions, and creating secure, scalable cloud infrastructure that enables developer productivity.

Sovereign Technology & Innovation Limited

Platform & DevOps Engineer (Full-time) · August 2024 – July 2025 · Remote/Hybrid

Platform & DevOps Engineer specializing in secure-by-design cloud platforms. Built internal developer platforms and observability frameworks that enable team productivity while maintaining security, compliance, and operational excellence.

Designed and implemented internal developer platforms that improved development team productivity by 40% through self-service infrastructure and automated workflows.

Built comprehensive observability frameworks using Prometheus, Grafana, and CloudWatch, achieving 99.99% uptime with proactive incident detection.

Embedded security-by-design principles into CI/CD pipelines with CIS benchmarks and PCI-DSS compliance, reducing security findings by 60%.

Automated infrastructure provisioning with Terraform and ArgoCD GitOps, reducing deployment time from hours to minutes.

Led cross-functional platform adoption initiatives, establishing SRE practices including error budgets, SLIs/SLOs, and incident response procedures.

Mentored engineering teams on platform engineering best practices, GitOps workflows, and cloud-native security patterns.

Technologies:

AWS Kubernetes (EKS) Terraform ArgoCD Istio Prometheus Grafana GitHub Actions CloudWatch Platform Engineering SRE

Afren (afren.ai)

MLOps & DevOps Engineer (Full-Time, Remote) · December 2022 – July 2024

MLOps & DevOps Engineer focused on building secure, automated machine learning infrastructure and platforms. Designed and implemented MLOps pipelines that enable rapid model development, deployment, and monitoring at scale.

Built comprehensive MLOps pipelines using SageMaker, Step Functions, and Lambda, reducing model deployment time from weeks to hours.

Designed secure ML inference endpoints with VPC isolation, IAM-based access controls, and KMS encryption, serving 10+ production models.

Implemented ML model monitoring and observability using CloudWatch, custom metrics, and alerting systems, improving model performance visibility by 60%.

Established MLOps best practices and CI/CD pipelines for data science teams, enabling automated model training, validation, and deployment workflows.

Collaborated closely with data science, product, and engineering teams to align ML infrastructure with business objectives and compliance requirements.

Implemented security-first MLOps practices including model artifact encryption, secure data access patterns, and compliance-ready audit trails.

Technologies:

AWS SageMaker MLOps Step Functions Lambda Terraform CloudWatch Model Monitoring IAM KMS VPC

Independent Platform & Cloud Consultant

Platform Engineering · DevOps · SRE · May 2021 – Present · Global (Contract engagements)

Independent platform engineering and cloud infrastructure consultant specializing in internal developer platforms, site reliability engineering, and secure cloud architectures for fintech, healthcare, and technology organizations.

Designed and implemented internal developer platforms enabling self-service infrastructure and improving developer productivity by 50% for multiple clients.

Architected multi-cloud and hybrid solutions on AWS/GCP with comprehensive disaster recovery, achieving 99.9% uptime for 5+ clients.

Implemented FinOps frameworks and cost optimization strategies, delivering £3K–£5K/month savings per client through rightsizing and resource optimization.

Established comprehensive security and compliance frameworks aligned to PCI-DSS, GDPR, and industry best practices.

Built observability and SRE practices including SLIs/SLOs, error budgets, and incident response procedures to ensure platform reliability.

Implemented GitOps CI/CD pipelines with security scanning and canary deployments, reducing deployment time by 50% and rollbacks by 30%.

Technologies:

Platform Engineering AWS GCP Kubernetes Terraform GitOps SRE Observability FinOps Security

Let's Work Together

Looking for a DevOps Engineer who can design secure, scalable infrastructure while improving your team's delivery velocity? Let's discuss how I can help accelerate your platform roadmap.

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