About

Nitin Ashutosh is an experienced Machine Learning Engineer with a strong background in computer software development. He has a Bachelor's degree in Computer Science from Maulana Azad National Institute of Technology and over 4.86 years of relevant experience in the field. Currently, Nitin is working as a Senior Machine Learning Engineer at safepro ai video research labs pvt. ltd. where he is leading the Facesense project. In this project, Nitin and his team are developing a facial recognition attendance system using Yolov5 and DeepSort Tracker, resnet50 model. They are using Python, ML, Docker, Flask, and MongoDB for video analytics. Prior to this, Nitin worked as a Machine Learning Engineer at eagle eye networks, where he was involved in several projects such as Gate Monitoring for Flash Parking, ATM Surveillance for Cattleya Tech, Perimeter Protection for Syncom, and COVID Use Case for Swisscom and Genentech. In these projects, Nitin designed and implemented various machine learning algorithms and models for object detection, tracking, and classification. He also optimized the existing production pipelines and deployed the solutions in production AWS servers. Nitin used ML, Python, AWS, Docker, MongoDB, Flask, Keras, Kubernetes, Javascript, and Tensorflow for these projects. Nitin is skilled in Python, C++, and Linux and has a strong engineering background. He has a demonstrated history of working in the computer software industry and has a passion for developing innovative solutions using AI and ML. Nitin is a quick learner and enjoys working in a fast-paced environment. He is a team player and has excellent communication skills.