Currently I am working on a project focused on the agriculture domain.Implementing machine learning algorithms and techniques to accurately classify crops,its stage and health and based on given criteria using python and tensorflow. Managed the entire end-to-end pipeline of machine learning projects, from data collection to model deployment, ensuring seamless execution and optimal performance.Led and mentored a team of data collection specialists, providing guidance and support to ensure the acquisition of high-quality data for training and validation purposes.

I have worked in the field of medical cell classification and segmentation, having actively contributed to projects involving cutting-edge models such as HoverNet and U-Net. Notably, I played a key role in a Conic Challenge where I led the initiative to enhance the baseline model, ultimately achieving a commendable 5th rank in the competition.Additionally, I led the data team, overseeing preprocessing and data extraction processes. This involved implementing efficient strategies to handle and prepare the vast amount of data required for our projects.