Ashiq Nazir Bhat is a researcher, educator, and full-stack developer specializing in energy systems, artificial intelligence, and federated learning. He has extensive teaching experience in computer science and has contributed to advanced courses in data science, conversational AI, and predictive analytics. His research focuses on vehicle-to-grid energy optimization, privacy-preserving machine learning, and explainable AI. He has developed smart energy systems, real-time monitoring platforms, and secure web applications. Proficient in multiple programming languages and cloud technologies, he actively contributes to research publications, conferences, and peer review, demonstrating strong expertise in both academic research and practical technology development.