Machine Learning & AI Engineer with 4+ years of experience building production-grade ML, LLM, RAG, and agentic AI systems across healthcare, analytics, and enterprise platforms. Specialized in PyTorch, LLM-based architectures, RAG pipelines, vector search, MLOps, cloud-native ML, and scalable inference systems. Expert in building end-to-end ML pipelines — data ingestion, feature engineering, training, deployment, monitoring, and continuous retraining. Proven success optimizing latency, throughput, and cost, deploying FastAPI/Kubernetes microservices, implementing CI/CD, and maintaining LLMOps workflows with MLflow, model versioning, drift detection, and production observability. Adept at translating ambiguous business requirements into high-impact, measurable AI solutions that scale reliably in real-world environments.…Machine Learning & AI Engineer with 4+ years of experience building production-grade ML, LLM, RAG, and agentic AI systems across healthcare, analytics, and enterprise platforms. Specialized in PyTorch, LLM-based architectures, RAG pipelines, vector search, MLOps, cloud-native ML, and scalable inference systems. Expert in building end-to-end ML pipelines — data ingestion, feature engineering, training, deployment, monitoring, and continuous retraining. Proven success optimizing latency, throughput, and cost, deploying FastAPI/Kubernetes microservices, implementing CI/CD, and maintaining LLMOps workflows with MLflow, model versioning, drift detection, and production observability. Adept at translating ambiguous business requirements into high-impact, measurable AI solutions that scale reliably in real-world environments.WWWW…