About

Adrian Moses is a highly skilled Senior Software Engineer with over 11 years of experience in the tech industry. Currently working at Spotify, he is responsible for building TFX and Kubeflow pipelines to tune, train, and deploy production models used for Entity Linking. Adrian has extensive experience in training scikit-learn and tensorflow classification models and has developed internal tools with Typescript, React, and Next.js. He is also proficient in designing and documenting architectures file processing and data pipelines, and has written Python and Scala pipelines to process data in parallel with Apache Beam. Adrian's expertise and experience in the tech industry are evident from his past work experiences. He has previously worked as a Software Engineer at Spotify and Loudr, where he gained valuable experience in software development. Adrian is a graduate of North Carolina State University, where he studied Physics from 2007 to 2011. With a strong tech stack that includes Software Engineering, Scikit, Javascript, Typescript, Tensorflow, Python, and Scala, Adrian is a highly skilled and versatile software engineer. He also possesses excellent mentoring skills, having mentored engineers to refine their development and soft skills. In summary, Adrian Moses is a highly skilled and experienced Senior Software Engineer with a strong background in software development, data processing, and machine learning. He is a valuable asset to any team and is always looking to learn and grow in his field.