About

Het Pandya is a passionate Machine Learning Engineer with a strong background in Computer Vision and NLP led Deep Learning. With almost 3 years of experience in the field, Het has a proven track record of delivering successful projects in the industry. Currently working at GRUBBRR as a Machine Learning Engineer, Het is responsible for developing computer vision-based Self-Checkout systems for retail stores and Conversational AI for drive-through restaurants. Het's expertise lies in developing deep learning models for computer vision and NLP tasks such as object detection, intent classification, and speaker adaptation. He has deployed these models on embedded processors for real-time inference and on Azure for online training using Tensorflow. Het is also proficient in Few Shot Learning, which he has used to reduce the training data for onboarding by 25 times and training time to under 90 seconds. Before joining GRUBBRR, Het worked as a Machine Learning Engineer at Inferenz, where he worked on speaker adaptation, virtual try-on for clothes, and gender identification using voice as input. Het has also authored several articles on Medium, where he shares his experiences and knowledge about practical Machine Learning and Deep Learning problems. Het holds a Master's degree in Artificial Intelligence and Machine Learning from Gujarat University and a Bachelor's degree in Information Technology from Virani Sci. & Shri Yogiji Maharaj Arts, Commerce & Science - Rajkot. Het's tech stack includes ML, Deep Learning, Computer Vision, AI, Object detection, Tensorflow, NLP, Azure, Scikit, and Flask. With his strong technical skills and experience, Het is a valuable asset to any team working on Machine Learning and Deep Learning projects.