Junior ML Engineer with experience in deep learning, machine learning, computer vision, and medical image analysis. Worked on projects involving liver cancer detection, autism prediction, traffic violation detection, ski…
Junior ML Engineer with experience in deep learning, machine learning, computer vision, and medical image analysis. Worked on projects involving liver cancer detection, autism prediction, traffic violation detection, skin cancer detection, and a transformer-based chatbot, with experience in research, model testing, and pipeline building.
Developed a Deep Learning model that will predict liver cancer (Hepatocellular Carcinoma or HCC) from whole slide histopathology Images (WSI).
The goal was to accurately classify digital pathology images as healthy or malignant, with an XAI.
Worked in Data and Research team.
Developed an ML model with explainability to predict Autism in Toddlers.
Was a part of publishing a research paper on the findings.
Worked on various projects like Real-Time Detection and Tracking of Motorcycle Riders Traffic Violations, Skin Cancer Detection project, etc.
Demonstrated professional expertise in determining research methodologies.
Meticulously ran various experiments using more than four cutting-edge object detection algorithms such as YOLOv5, Faster-RCNN, RetinaNet, and others.
Contributed to the pipeline building and model testing tasks for then-ongoing projects.
Worked on the CNN-based model for predicting air pollution.
Worked on a transformer-based chatbot designed to provide education in rural villages.
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