neel gajera

Neel Gajera has work experience as a Computer Vision Engineer at Spyne since March 2022. In this role, they have developed and implemented algorithms using computer vision, image processing, and deep learning methods. They have worked on solving cataloging industry problems such as shadow generation, reflection removal, number plate detection and changing, and controlling environment using image validations, perfect placement, lighting effects, image restoration, and image background removal. They have also designed neural networks for regression, classification, object detection, image-to-image translation, and 3D product rendering.

Before joining Spyne, Neel worked as a Machine Learning Engineer at Organic Inventions from March 2021 to May 2022. They were involved in developing an Agri-commerce based product that can identify crops, analyze product quality, and enable direct selling and buying between farmers and consumers through an app.

Neel Gajera completed a Bachelor of Engineering in History from GECG, where they studied from 2016 to 2020.