About

Amit Dedhia is an experienced Machine Learning Engineer with a strong background in NLP and Computer Vision. He is currently working remotely for a Singapore-based fintech company, where he has demonstrated exceptional project management skills and received the highest customer satisfaction ratings in the organization. Amit has a deep conceptual understanding of machine learning and deep learning and has worked on professional projects involving Feed Forward Neural Networks, CNN, RNN, and GAN. He has also worked on various software architecture and development projects for FinTech products, Diagnostic Imaging products, DICOM, RIS, PACS, LIMS, Lab Instruments, QPCR, Image Processing, and Data Acquisition. Amit has a strong knowledge of genetics and Next Generation Sequencing and is skilled in OOAD and multi-threading. He has also worked on oncology clinical trial imaging applications involving RECIST, WHO, and CHESON protocols. Amit has worked for several companies in the past, including viact and aerobi, where he worked as a Machine Learning Developer. At viact, Amit wrote object detection and image classification models such as SSD, SSDLite, EfficientNet, YoloV3, etc., using PyTorch. At aerobi, he worked on Computer Vision, Object Detection, and Semantic Segmentation Neural Network models, Mask RCNN, ResNet, MobileNetV2, Shufflenet, UNet, Single Shot Detector, Pose Estimation models, Quantization, Model Compression, OpenCV, PyTorch, and TensorFlow 2.0. Amit has a Bachelor of Engineering degree in Computer Science from the Vivekanand Edu. Soc. Institute of Technology. He has 24.55 years of relevant experience and possesses a wide range of technical skills, including ML, Computer Vision, NLP, Object Detection, CNN, RNN, GAN, Image Processing, Deep Learning, Neural Networks, Pytorch, ResNet, OpenCV, and TensorFlow. Currently, Amit is an Independent Contractor - Machine Learning at canopy, where he is working on NLP and Computer Vision to process PDF documents.