I am a machine learning engineer and researcher with 9+ years of experience spanning applied research and production-grade ML systems. My expertise lies in reinforcement and imitation learning, computer vision, NLP, and generative models, with a strong focus on decision-making and perception problems. I have designed end-to-end ML pipelines, from data and modeling to evaluation and deployment, for large-scale, real-world systems. My work bridges theory and practice, emphasizing robustness, scalability, and learning under real-world constraints.