About

Snehashis Chatterjee is a Research Engineer (Grade 1) at Videonetics Technology Pvt Ltd. He completed his undergraduate degree in Electronics and Communications Engineering from the University College of Science, Technology & Agriculture, University of Calcutta in 2020. Snehashis is passionate about Artificial Intelligence, Deep Learning, and Computer Vision in the field of Medical Image Analysis. He has 2.78 years of relevant experience in the field of Research Science, Computer Vision, Deep Learning, Machine Learning, Artificial Intelligence, and Convolutional Neural Networks (CNN). Snehashis has a strong background in Deep Learning and Computer Vision, which he gained during his internships and work experience. He has worked as a Deep Learning and Computer Vision intern at Airprobe, where he worked on various projects in thermal imaging. He built a classifier that decides which image requires normalization and which are not. He also built a Detectron2 based model that detected solar panels irrespective of panel shape and implemented Camera SDK for thermal value extraction. Snehashis has also worked as a Research and Development (Machine Learning) at Brainsight, where he worked on their Structural MRI based Glioma pipeline. He worked on large scale preprocessing SMRI data, created pyradiomics features based classification model, and integrated two CNN based segmentation models (skull stripping and Glioma segmentation) in one pipeline. Snehashis is proficient in several programming languages and tools, including Python, TensorFlow, Keras, PyTorch, OpenCV, and MATLAB. He also has a GitHub profile where he has shared his projects and codes. Snehashis is a highly motivated individual who is always eager to learn and explore new technologies. He is a team player and has excellent communication skills. He is committed to delivering high-quality work and meeting the project deadlines.