About

Raphael Krief is a highly motivated and skilled software engineer with a passion for Natural Language Processing (NLP) and Machine Learning (ML). He is currently working as a Software Engineer at Bloom, where he is responsible for developing and maintaining software applications and systems. Raphael is a Computer Science student who has specialized in NLP and ML. He has a strong academic background, having completed a Certificat d'Architecte en technologie du Numérique from 42 in 2017 and a Machine Learning course from Stanford University in 2018. In addition to his academic achievements, Raphael has gained practical experience through his work as a Data Engineer at Southpigalle, where he was responsible for NLP management. He has also worked as a Mentor at OpenClassrooms, where he provided personalized guidance and support to students pursuing online degrees. Raphael's technical skills include software engineering, NLP, data engineering, and ML. He is proficient in programming languages such as Python, Java, and C++. He is also experienced in using tools and technologies such as TensorFlow, Keras, and PyTorch. With a relevant experience of 0.27 years, Raphael is a fast learner and a team player who is always eager to learn new skills and take on new challenges. He is a creative problem-solver who is able to think outside the box and come up with innovative solutions. Raphael is passionate about using his skills to make a positive impact on the world and is always looking for opportunities to do so.