Dharamvir Yadav is a Machine Learning Research Engineer specializing in medical diagnosis applications, such as developing a Cervical Cancer detection system. He has expertise in advanced segmentation models (Mask RCNN, Unet, Swin transformer) and building web back-end frameworks using FastAPI. He holds an MTech in Cyber Physical Systems from IIT and a BE in Electrical Engineering.
Experience
Machine Learning Research Engineer
BlockApps AI
•Jun 2021 - Present•Bangalore, India
Currently working on a Cervical Cancer Application to find cancer in early stages by segmenting and classifying cells from medical images. Responsibilities include training segmentation models and developing the web application back end framework using Fast API. Implemented various segmentation models including Mask RCNN, Unet, Swin transformer, Cellpose, and Refine mask.
