AI/ML Engineer with 5+ years of experience architecting and deploying production clinical AI systems, including a RAG platform processing 100,000+ mental health documents with 20% accuracy improvement and F1 score uplift from 0.71 to 0.86, across healthcare technology, consulting, and enterprise domains. Proficient in Python, TensorFlow, PyTorch, and LangChain with deep hands-on experience in RAG systems, NLP pipelines, MLOps infrastructure, and transformer-based models on AWS and Azure. Known for translating complex clinical requirements into scalable ML architectures and leading cross-functional teams of engineers, clinical staff, and product managers to deliver measurable patient care outcomes at scale.