I am a AI/ML Engineer with 5+ years of experience designing, deploying, and scaling production-grade ML systems across cloud platforms. I specialize in MLOps, cloud-native ML architectures, real-time and batch inference, distributed data processing, and end-to-end ML lifecycle automation. In my recent roles, I architected an enterprise Azure Data Lake consolidating multi-cloud data (AWS, GCP) and reduced data silos by 40%. I designed and deployed production ML and NLP models enabling both batch and real-time inference, improving prediction accuracy by 22%. I built cloud-native ML microservices with Docker, Kubernetes, and Kubeflow Pipelines, and implemented automated model monitoring to detect data drift and minimize performance degradation. I also led data engineering initiatives, optimized SQL and Spark schemas, and delivered KPI dashboards to accelerate stakeholder decisions.…I am a AI/ML Engineer with 5+ years of experience designing, deploying, and scaling production-grade ML systems across cloud platforms. I specialize in MLOps, cloud-native ML architectures, real-time and batch inference, distributed data processing, and end-to-end ML lifecycle automation. In my recent roles, I architected an enterprise Azure Data Lake consolidating multi-cloud data (AWS, GCP) and reduced data silos by 40%. I designed and deployed production ML and NLP models enabling both batch and real-time inference, improving prediction accuracy by 22%. I built cloud-native ML microservices with Docker, Kubernetes, and Kubeflow Pipelines, and implemented automated model monitoring to detect data drift and minimize performance degradation. I also led data engineering initiatives, optimized SQL and Spark schemas, and delivered KPI dashboards to accelerate stakeholder decisions.WWWW…