Akshay Sonawane

Background

About Akshay Sonawane

Passionate about transforming Healthcare through cutting-edge Machine Learning solutions, I specialize in building Reliable, Explainable, and Generalizable Models to solve complex medical challenges. My expertise lies in Bayesian ML, and I'm actively exploring how Quantum ML and Few-shot Learning can push the boundaries of diagnostics, especially with small datasets.Currently, I'm developing a hybrid Convolutional and Bayesian Neural Network for Reliable Oral Cancer Diagnosis, where I'm focused on improving diagnostic accuracy with limited data. By incorporating Attention Mechanisms, my model visualizes uncertainty in predictions, providing deeper insights into model behavior. I'm also leveraging Model-Agnostic Meta-Learning (MAML) to enable faster learning from minimal examples, addressing the constraints of small datasets.My research has already shown promising results, improving Diagnostic Accuracy and demonstrating the potential of AI to revolutionize healthcare. I'm eager to collaborate with healthcare innovators who share my mission of using AI/ML to drive real-world medical breakthroughs.Outside of research, I enjoy reading spiritual books and tuning into ML Street Talk, a YouTube channel focused on machine learning. Let's connect if you're interested in discussing how AI/ML can create tangible impact in healthcare.