About

Anas N B is a highly experienced AI and Data Scientist with a passion for working in areas related to Computer Vision, Machine Learning, Deep Learning & MLOPs. With 12 years of experience as an individual contributor and lead of end-to-end software product life cycle related to Video Perception for Autonomous Driving, Anas has honed his skills in C, OpenCV, Matlab, Python, Caffe, TensorFlow, Pytorch, and Cloud Technologies such as Azure. Anas is also proficient in Data Engineering Tools such as Voxel, Dremio, and Redash, and has experience working with SoC Toshiba Visconti. Anas has worked on various projects, including the design and development of Data Centric + AI Centric Work Flow for traffic sign and traffic light topics for Bosch Global Software Technologies, and TS and TL Classification using DNN, Optimization of Pelee Architecture, Study of GAN Architectures, Face Recognition System using DNN, Driver Monitoring System using DNN, Traffic Sign and Traffic Light Recognition System, Pedestrian Detection & Vehicle Detection System on PC, and on Toshiba Visconti Platform for Toshiba Software India PVT LTD. Anas has also worked as a System Analyst for Toshiba and as a System Engineer for Tata Consultancy & Services. Anas holds a Bachelor of Technology in Electrical, Electronics, and Communications Engineering from Model Engineering College. He has also completed several Coursera certifications, including Machine Learning by Andrew Ng, Mathematics for Machine Learning Specialization, and Deep Learning Specialization. Currently, Anas is working as a Principal Data Scientist for Bosch, where he is focused on perception stack feature development for traffic light use cases. Anas's areas of interest include Computer Vision, Machine learning, Deep Learning, and ADAS, and his domain interests include Automotive, Medical imaging, and Video Analytics. Anas is a highly skilled and experienced AI and Data Scientist who is passionate about solving large-scale data and AI problems using Deep Learning and MLOPS technologies.