About

Andreas Daiminger is a Senior Machine Learning Engineer (NLP) at Kustomer, Meta with over 7 years of relevant experience. He has a strong focus on NLP and applies Deep Learning to build smart agents that improve customer support. Andreas is especially interested in modular models combining text and structured data, which he believes will shape the future of NLP. Andreas started his career as a Machine Learning Engineer (NLP) at reply.ai, where he gained valuable experience in developing NLP-based solutions. He then moved on to become a Mentor for Self-Driving Car NanoDegree at Udacity, where he provided accurate and actionable feedback to students on Computer Vision and Deep Learning. Andreas has a strong educational background in Artificial Intelligence and Machine Learning. He completed his Self-Driving Cars Nanodegree and Machine Learning NanoDegree from Udacity in 2017 and 2016, respectively. Prior to that, he pursued Flamenco from Amor de Dios in 2010 and studied at Universität Regensburg from 2006 to 2008. Andreas has a diverse TechStack that includes ML, NLP, Deep Learning, and Computer Vision. He is always eager to learn new technologies and apply them to his work. Andreas is a firm believer in the quote, "The future is already here - it is just not very evenly distributed" by William Gibson, his favorite sci-fi author. In summary, Andreas Daiminger is a skilled Senior Machine Learning Engineer (NLP) with a passion for developing NLP-based solutions. He has a strong educational background in Artificial Intelligence and Machine Learning and a diverse TechStack. Andreas is always looking for new challenges and opportunities to learn and grow in his field.