Felipe Sulser is a data scientist with 11 years of experience applying machine learning and advanced analytics across tech and banking, currently building data-driven solutions at Apple in Zurich. He combines a strong academic foundation (M.S. in Computer Science from ETH Zurich) with hands-on expertise in Python, R, Scala and C++, and production ML tooling such as TensorFlow, Keras, Spark and Hadoop. Cloud-certified on Azure and AWS, Felipe has designed and scaled ML pipelines and production deployments for clients at UBS, Amazon and consulting engagements, bridging prototyping and operationalization. He brings practical systems thinking from earlier roles as a software and data engineer—optimizing routing algorithms, migrating databases, and implementing high-performance single-page applications—which helps him balance model quality with engineering constraints. Notable for moving models into production at scale, he excels at turning experimental prototypes into robust, cloud-native services.
11 years of coding experience
4 years of employment as a software developer
Bachelor of Science (B.S.), Computer Science, Bachelor of Science (B.S.), Computer Science at Universidad de Málaga
Master of Science (M.S.), Computer Science, Master of Science (M.S.), Computer Science at Eidgenössische Technische Hochschule Zürich
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