I will set up your devops or mlops pipelines

Are you building an AI or machine learning product and struggling to get it deployed, automated, or running reliably in production? You're in the right place.

I'm a Senior Site Reliability Engineer with hands-on experience designing and managing production-grade infrastructure on AWS. I specialize in bridging the gap between data science and production setting up the DevOps and MLOps foundations that make AI systems actually work at scale.

What I can set up for you:

• CI/CD pipelines for ML models (GitHub Actions, CodePipeline)
• Dockerized ML environments and containerized model serving
• AWS infrastructure for AI workloads (EC2, ECS, Lambda, SageMaker)
• MLflow or similar experiment tracking and model registry setup
• Automated model deployment with rollback and versioning
• Monitoring and alerting for deployed models (CloudWatch, Grafana)
• Infrastructure as Code using Terraform or CloudFormation
• 
  

Why work with me:

Most AI freelancers can build a model. Few can deploy it reliably. My background is in keeping systems running at scale so what I deliver is production-ready, not just a working prototype.

Every delivery includes clean documentation so your team can maintain and extend the setup in