Enis O.

AI/ML & DevOps & Cloud Engineer | MLOps | LLM | AWS, GCP, Azure | K8s

Scaling SaaS and cloud-native businesses with secure, automated, and cost-efficient infrastructure — now powered by AI/ML capabilities. I help companies: ◉ Reduce cloud costs by up to 30–40% ◉ Deploy and scale LLM & AI/ML workloads on production-grade infrastructure ◉ Build scalable Kubernetes clusters (EKS, AKS, GKE) optimized for ML pipelines ◉ Achieve compliance (SOC 2, HIPAA, PCI DSS, ISO 27001) ◉ Migrate to cloud with near-zero downtime If your infrastructure feels fragile, your AI models are slow to deploy, or your cloud bill keeps growing — we fix that. ⚙️ Core Expertise ➙ Cloud Platforms: AWS, GCP, Azure, Digital Ocean, Oracle ➙ Containers: Docker, Kubernetes, Helm ➙ AI/ML & MLOps: LLM Deployment, Fine-tuning, MLflow, Kubeflow, SageMaker, Vertex AI ➙ nfrastructure as Code: Terraform, Ansible, CloudFormation, Pulumi ➙ CI/CD: GitHub Actions, GitLab CI/CD, Jenkins, ArgoCD ➙ Monitoring: Prometheus, Grafana, Datadog, ELK ➙ Security: DevSecOps, Trivy, SonarQube, Checkov ➙ Automation: Python, Bash, PowerShell 🛡️ Compliance & Security We design infrastructure aligned with: HIPAA | SOC 2 | PCI DSS | ISO 27001 | ISO 27002 Security is integrated — not added later. 💼 Who We Typically Work With ◉ SaaS startups scaling rapidly ◉ AI/ML teams needing production-ready model deployment infrastructure ◉ Enterprises migrating to cloud or adopting LLM-powered products ◉ Teams needing Kubernetes production hardening ◉ Regulated industries requiring compliant cloud setups 🌟 Why Clients Choose Us ✅ Certified Kubernetes, Cloud & MLOps experts ✅ Real-world LLM deployment & fine-tuning experience ✅ Clean, maintainable infrastructure (no messy DevOps) ✅ Transparent communication & fast response times If you're deploying AI models, scaling Kubernetes, or optimizing cloud costs — let's talk.