Senior AI/ML Engineer with RAG & MLOps Expertise

This profile showcases a strong background in Machine Learning and AI, with expertise in Python, SQL, and MLOps tools. The individual is proficient in various ML frameworks like Scikit-learn, PyTorch, TensorFlow, and XGBoost, and possesses advanced skills in Natural Language Processing, including RAG, Knowledge Graph RAG, Agentic Workflows, Transformers, LangChain, and RLHF. They also have experience with cloud platforms (AWS S3, IAM, Lambda), containerization (Docker, Kubernetes), and CI/CD practices (GitHub Actions), making them well-suited for roles requiring end-to-end ML system development and deployment. The profile is open to remote work and relocation within the United States.