About

Anurag Das is a highly motivated and ambitious PhD candidate at the Max Planck Institute for Informatics, specializing in machine learning and computer vision. With a focus on developing cutting-edge algorithms and models, Anurag is constantly seeking to expand his knowledge and skills in these areas. Anurag's passion for machine learning and computer vision is reflected in his academic and professional experience. He has worked as a Master Thesis Student at the Max Planck Institute for Informatik, where he gained invaluable experience in developing deep learning models for object detection and tracking. Prior to that, he worked as a Research Immersion at the Modelling and Simulation Group at Saarland University, where he gained experience in developing machine learning models for natural language processing. Anurag has a strong educational background, with a Master's degree in Computer Science from the Universität des Saarlandes, and a Bachelor's degree in Information Technology from the Indian Institute of Information Technology. He also has a High School degree from Pitts Modern School, Bokaro. Anurag's technical skills include expertise in Computer Vision and Machine Learning. He has worked extensively with deep learning frameworks such as TensorFlow and PyTorch, and has a strong understanding of computer vision techniques such as object detection, image segmentation, and image classification. With almost three years of relevant experience, Anurag is a highly skilled and driven individual who is committed to pushing the boundaries of machine learning and computer vision. He is always looking for new challenges and opportunities to grow and develop his skills, and is excited to be part of the cutting-edge research being conducted at the Max Planck Institute for Informatics.