Muneeb Ahmad

Senior DevOps & MLOps Engineer | Full Stack Engineer

Fiverr • Lavoratore autonomo

Dec 2025 - Present • 10 mos

Delivering end-to-end DevOps, MLOps and full stack engineering services to global startups, SaaS companies and AI teams as a freelance engineer on Fiverr. Key Contributions: ◦ Design and deploy multi-cloud infrastructure across AWS, Azure and GCP ◦ Build CI/CD pipelines with GitHub Actions, Jenkins and GitLab CI ◦ Set up Kubernetes clusters (EKS, GKE, AKS) with Helm and ArgoCD ◦ Automate provisioning with Terraform and configuration with Ansible ◦ Deploy ML models and AI/ML pipelines using MLflow ◦ Implement monitoring and alerting with Prometheus and Grafana ◦ Ship full stack apps in Python, Node.js and React with clean documentation Tech Stack: AWS, Azure, GCP, Kubernetes, Docker, Terraform, Ansible, Jenkins, GitHub Actions, MLflow, Prometheus, Grafana, Python, Node.js, React.

Senior DevOps/MLOps Engineer | Full Stack Developer

Digital Innovation • Full time

Dec 2021 - Nov 2025 • 3 yrs 11 mos

Led DevOps, MLOps and full stack engineering for enterprise SaaS clients across fintech, healthtech and e-commerce, owning production cloud environments end to end. Key Contributions: ◦ Migrated legacy monoliths to Kubernetes microservices on AWS EKS ◦ Standardized Infrastructure as Code using reusable Terraform modules ◦ Rolled out MLflow-based MLOps pipelines for the data science team ◦ Built CI/CD workflows in Jenkins and GitHub Actions ◦ Centralized observability with Prometheus, Grafana ◦ Shipped internal dashboards and client features in React and Node.js Tech Stack: AWS, Azure, Terraform, Kubernetes, Docker, Jenkins, GitHub Actions, MLflow, Prometheus, Grafana, Node.js, React, PostgreSQL, Redis.

Senior Full Stack Developer | DevOps Engineer

Shubbak Technologies • Full time

Oct 2018 - Jan 2022 • 3 yrs 3 mos

Started as a full stack developer and grew into a hybrid DevOps and MLOps role as the SaaS product scaled, taking ownership of cloud infrastructure and automation alongside feature delivery. Key Contributions: ◦ Developed backend APIs in Python (Django, Flask) and Node.js ◦ Delivered React and Next.js frontends with Redis-backed caching ◦ Migrated apps from manual EC2 deployments to Docker on Kubernetes (EKS, GKE) ◦ Provisioned AWS and GCP infrastructure with Terraform and Ansible ◦ Built CI/CD pipelines in Jenkins and GitLab CI with automated testing ◦ Introduced early MLflow workflows for ML experiment tracking and versioning ◦ Set up Prometheus and Grafana for infrastructure and API monitoring Tech Stack: AWS, GCP, Kubernetes, Docker, Terraform, Ansible, Jenkins, GitLab CI, MLflow, Prometheus, Grafana, Python, Django, Flask, Node.js, React, Next.js, PostgreSQL, Redis.