Rajesh Mukherjee specialize in Machine Learning and Computer Vision, with a particular focus on using deep learning to improve how we diagnose blood-related diseases. He has over 17 years teaching both undergraduate and postgraduate students, which has given me a unique perspective on how to bridge the gap between complex theory and practical application. In research, he tackles the tough challenges that often hold AI back in clinical settings, like data imbalance and visual variability. He is passionate about building robust models that can handle the unpredictability of real-world imaging. Ultimately, I want to ensure that the next generation of AI tools is both technically sound and ready for clinical use.