Versatile professional with a strong 8 years background in DevOps, Cloud architecting, and Automation, backed by a proven track record of optimizing IT infrastructure and processes for efficiency and scalability. Recently pivoted into the field of Machine Learning Engineering and MLOps, demonstrating a deep understanding of ML model development and deployment on cloud platforms. Leveraging years of experience in cloud technologies, He has successfully applied DevOps principles to streamline ML workflows, ensuring robust, automated, and reproducible model deployments. Committed to staying at the forefront of technology, He bridge the gap between IT operations and cutting edge ML engineering, driving innovation and business growth. He contributes to open source projects and has experience working with start-ups as well as enterprises including financial service industries and public and government sectors. He holds various professional certifications from AWS, Red Hat, CNCF, and HashiCorp. He loves to share his experience with the latest technologies at AWS meetups. Skills: AWS Solutions Architecting and Implementations, DevSecOps, Python/Golang/Shell, Infra as Code, Policy as Code, Config Management, Kubernetes/OCP, Service Mesh, Chaos Engineering, AIOps, Monitoring & Logging EDA, ML Model Development ((TensorFlow, PyTorch, Scikit, numpy, Pandas) MLOps (Sagemaker), ETL (Glue, EMR, Redshift) Authored: - Accelerate DevSecOps on AWS: Including Chaos and AIOps - AWS Automation CookBook