Sandesh Lavhande

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• Deep expertise in AWS and GCP cloud platforms, including services like EC2, S3, IAM, CloudWatch, EKS, and more.
• Strong proficiency in containerization using Docker and Kubernetes, with practical experience in EKS deployments.
• Extensive background in Infrastructure as Code (IaC) with Terraform and AWS CloudFormation.
• Proven ability to design and implement robust CI/CD pipelines using Jenkins and Git.
• Expertise in observability stacks, including Grafana, Prometheus, CloudWatch, and Kibana, for system monitoring and incident detection.
• Demonstrated experience in incident management, troubleshooting, and reducing MTTR/MTTD for high-availability environments.
• The candidate's experience is almost entirely focused on Cloud Engineering and DevOps, which is a poor match for an 'AI Engineer' role as there is no explicit mention of AI/ML frameworks, data science, MLOps, or specific AI algorithms.