I am an AI/ML Engineer with 5 years of experience designing and deploying production-grade machine learning and Generative AI solutions across healthcare and enterprise domains, driving decision automation and operational efficiency. I build end-to-end ML systems using Python, PyTorch, TensorFlow, and Scikit-learn, delivering scalable predictive models that reduce manual intervention in critical workflows. I specialize in Transformers, deep learning architectures (CNNs, RNNs), and Retrieval-Augmented Generation (RAG), developing LLM-powered applications using LangChain, OpenAI APIs, and FAISS for context-aware intelligence. I implement robust MLOps practices with MLflow, Docker, Kubernetes, and CI/CD pipelines to enable reliable model deployment, monitoring, and reproducibility in AWS and Azure environments. I’m experienced in building distributed data pipelines with PySpark and Airflow, ensuring high-volume data processing and production model scalability.…I am an AI/ML Engineer with 5 years of experience designing and deploying production-grade machine learning and Generative AI solutions across healthcare and enterprise domains, driving decision automation and operational efficiency. I build end-to-end ML systems using Python, PyTorch, TensorFlow, and Scikit-learn, delivering scalable predictive models that reduce manual intervention in critical workflows. I specialize in Transformers, deep learning architectures (CNNs, RNNs), and Retrieval-Augmented Generation (RAG), developing LLM-powered applications using LangChain, OpenAI APIs, and FAISS for context-aware intelligence. I implement robust MLOps practices with MLflow, Docker, Kubernetes, and CI/CD pipelines to enable reliable model deployment, monitoring, and reproducibility in AWS and Azure environments. I’m experienced in building distributed data pipelines with PySpark and Airflow, ensuring high-volume data processing and production model scalability.WWWW…