Muhammad A.

If your cloud infrastructure, CI/CD pipelines, data workflows, or ML deployments are becoming difficult to manage, insecure, or hard to scale, I can help you build a reliable, automated, and production-ready system. I’m a DevOps, MLOps, and Cloud Engineer with 4+ years of hands-on experience designing, deploying, and maintaining secure cloud infrastructure across AWS, Azure, and Google Cloud Platform. I help startups and growing companies automate deployments, manage Kubernetes environments, optimize cloud operations, and deploy AI/ML systems with scalable DevOps practices. My work focuses on building systems that are secure, scalable, cost-efficient, observable, and easy to maintain. Here’s how I can help: DevOps Engineering & CI/CD Automation I build and optimize CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, AWS CodePipeline, and Bitbucket pipelines. I help teams automate deployments, reduce manual errors, improve release speed, and create reliable workflows across development, staging, and production environments. Cloud Infrastructure on AWS, Azure & GCP I design and manage cloud infrastructure using AWS, Azure, and GCP, including compute, networking, storage, IAM, databases, load balancing, certificates, secrets, monitoring, and security services. I also work with infrastructure automation using Terraform and AWS CDK. Kubernetes, Docker & GitOps I deploy and manage containerized applications using Docker, Kubernetes, ECS, EKS, Helm, and Argo CD. I can help with Kubernetes cluster operations, Helm chart development, GitOps workflows, autoscaling, ingress, secrets management, and production-grade deployment strategies. MLOps & AI Infrastructure I support AI/ML and GenAI workloads by deploying and managing ML models, RAG and non-RAG workflows, and AI infrastructure using tools like Azure AI Foundry, Kubernetes, cloud storage, APIs, and CI/CD automation. I help teams move ML workloads from experimentation to stable production environments. Data Engineering & Workflow Automation I build and automate data workflows using Python, AWS Lambda, S3, DynamoDB, API Gateway, databases, Kafka-based workflows, DAG pipelines, and cloud-native data services. I can help automate manual tasks, improve data reliability, and connect systems through scalable backend workflows. Cloud Security & Compliance Support I implement security best practices across cloud environments, including IAM hardening, Secrets Manager, AWS Security Hub, GuardDuty, Inspector, WAF, vulnerability scanning, and secure CI/CD practices. I also have experience working with compliance-focused environments, including PCI DSS. Monitoring & Observability I set up monitoring, logging, alerting, and dashboards using Prometheus, Grafana, AWS CloudWatch, Datadog, New Relic, and Uptime Robot. I help teams detect issues early, reduce downtime, and improve visibility across applications and infrastructure. I don’t just configure tools. I build complete cloud and DevOps systems that help businesses deploy faster, reduce operational risk, improve security, and scale with confidence. If you need help with AWS, Azure, GCP, Kubernetes, Terraform, Docker, CI/CD, MLOps, data workflows, cloud security, monitoring, or infrastructure automation, let’s discuss your project. Tools & Technologies Cloud Platforms: AWS, Azure, GCP AWS: EC2, RDS, S3, VPC, IAM, Route 53, SQS, ECS, EKS, Lambda, API Gateway, DynamoDB, Secrets Manager, WAF, Config, SNS, Security Hub, Inspector, GuardDuty, CodePipeline, Amplify, Elastic Beanstalk Azure: Azure AI Foundry, Azure DevOps, App Services, Virtual Machines, Networking, Storage GCP: Compute Engine, Cloud Run, Cloud SQL, Cloud Build, Cloud Storage, VPC, IAM, Secret Manager DevOps & CI/CD: GitHub Actions, GitLab CI, Jenkins, AWS CodePipeline, Bitbucket Pipelines Containers & Orchestration: Docker, Kubernetes, ECS, EKS, Helm, Argo CD IaC: Terraform, AWS CDK MLOps & Data: Azure AI Foundry, RAG workflows, Python automation, AWS Lambda, S3, DynamoDB, API Gateway, Kafka, DAG workflows Monitoring: Prometheus, Grafana, AWS CloudWatch, Datadog, New Relic, Uptime Robot Databases: PostgreSQL, MSSQL, MongoDB, AWS RDS Security: AWS Security Hub, GuardDuty, Inspector, Secrets Manager, WAF, SonarQube, Snyk, Veracode Scripting: Bash, Python Version Control: GitHub, GitLab, Bitbucket Operating Systems: Linux, Windows Server