DevOps Engineer and MultiCloud Engineer with 8 years of comprehensive experience in designing, implementing, and optimizing cloud infrastructure solutions for industry giants such as Microsoft, Amazon and Apple. Recognized expert in Container Technology and Machine Learning, with a proven track record of leveraging cutting-edge technologies to drive innovation and efficiency. Proficient in leading cloud platforms including AWS Cloud, Azure Cloud, and Google Cloud adept at architecting/delivering solutions tailored to meet diverse business requirements. Mastery over key container orchestration services including EKS, AKS, GKE, ECS, Google App Engine and Azure Container Instance, alongside expertise in Docker, bare metal Kubernetes, EKS anywhere, ECS anywhere, and Google Anthos. Skilled in implementing and managing cloud-native monitoring and observability tools such as Prometheus, Grafana, ELK stack, and Helm ensuring optimal performance and reliability. Experienced in infrastructure as code (IaC) methodologies, proficient in Terraform, Ansible, GitOps, and Kubernetes operators for streamlined deployment and management, and strong hold on Python for system automation. Specialized in bridging the gap between development and operations through MLOps and GitOps practices, proficient in KubeFlow Pipelines for orchestrating machine learning workflows. Proactive team player with strong communication skills, adept at collaborating across cross-functional teams to deliver high-impact solutions that drive business success. Let's connect and discuss how we can collaborate to drive innovation and optimize your cloud infrastructure strategy. Open to exciting conversations and challenges in the realm of DevOps, Cloud Architecture, and Machine Learning. Posts/Links/Comments/Shares are strictly personal, it doesn't reflect any opinion/views/motive etc of/with my employer/s. Any personal comment/post/reaction/share/chat resembling the same will be pure coincidence.