AI/ML Engineer with 4.5 years of experience designing, developing, and deploying enterprise-scale AI and data-driven solutions across healthcare, cloud, and analytics platforms. Skilled in LLM fine-tuning, NLP, predictive modeling, and time-series forecasting, with extensive hands-on expertise in TensorFlow, PyTorch, and end-to-end MLOps pipelines using AWS, Azure, and GCP. Proven success in optimizing data pipelines, automating workflows, and delivering actionable insights that improve clinical and operational outcomes. Adept at leading cross-functional initiatives, mentoring teams, and translating complex research into production-ready AI systems aligned with business objectives.