About

Naman Mehta is a highly skilled Deep Learning Engineer with a focus on C.A.S.E (Connected, Autonomous, Shared and Electric) technologies. Currently working as a Software Developer at TCS, he has extensive experience in creating custom RestAPIs in Data Annotation Studio for training and inference of tensorflow, pytorch, and darknet based object detection and segmentation models. He is proficient in using Apache airflow for ETL and Workflow management and has integrated MLFlow for tracking, logging, and comparing multiple experiments. Naman has a proven track record of successfully deploying tinyYOLOv3 model on a bot prototype with Raspberry pi and Intel’s NCS2 stick for detection of potholes, where he won the Innovation award. During his Summer Research Internship Program at the Indian Institute of Information Technology Allahabad, he implemented a bidirectional LSTM and CNN model for Image Captioning under Prof. US Tiwary. Naman has a Bachelor's degree in Software Engineering from the Indian Institute of Engineering Science and Technology, Shibpur. He is highly skilled in Computer Vision, Deep Learning, Python, Object detection, Apache Airflow, Tensorflow, ETL, Pytorch, Integration, and CNN. With 3.20 years of relevant experience, he is a dedicated professional who is committed to delivering high-quality work. His passion for technology and his ability to think creatively make him an asset to any team.