Sathish

I have over 9 years of overall IT experience, with 7+ years specializing in DevOps and Cloud Engineering and around 1 year of hands-on experience in MLOps. I currently work as an Automation / DevOps Engineer, where I design, build, and automate cloud infrastructure and deployment pipelines at scale.

My core expertise includes AWS (VPC, EC2, IAM, Lambda, S3, CloudWatch, Transit Gateway), Infrastructure as Code using Terraform and CloudFormation, CI/CD pipelines with Jenkins and Azure DevOps, and configuration management using Ansible. I have strong experience in network automation, security group governance, Palo Alto firewall deployments, and large-scale multi-account AWS environments.

On the MLOps side, I have practical experience with ML pipelines, model lifecycle concepts, MLflow, DVC fundamentals, and production model deployment strategies. I have completed Andrew Ng’s Machine Learning Specialization and Josh Starmer’s Machine Learning Masterclass, giving me a solid foundation in ML concepts such as model evaluation, overfitting/underfitting, feature scaling, and classification metrics.

I am AWS Solution Architect Associate certified and actively work on real-world automation and cloud transformation projects. My teaching approach is practical and industry-oriented, focusing on real use cases, interview preparation, and hands-on learning rather than just theory.

I enjoy mentoring professionals and students who want to build strong careers in DevOps, Cloud, and MLOps by sharing real production-level knowledge and best practices.