Chief Technology Officer
Dr. Miłowski is a researcher, developer, entrepreneur, mathematician, and computer scientist. He has been involved in the development of Web and Semantics technologies since the early 1990s, primarily focusing on machine learning, natural language problems, data representation, algorithms, and processing data at scale. He is an experienced developer skilled in a variety of functional and imperative languages.
He received his PhD in Informatics (Computer Science) from the renowned University of Edinburgh School of Informatics in Scotland where his 2014 thesis work explored large-scale computation over scientific data on the Web. He has experience in big data platforms and with scientific computing using geospatial and genome data pipelines.
Recently, he has been working on crafting machine learning infrastructure to support machine learning applications. He is particularly interested in how to use Kubernetes at scale to improve the productivity and reliability of machine learning systems and data scientists. He has experience teaching, mentoring, managing teams, and developing within various data science/ML domains including cloud computing, Kubernetes, Spark, PyTorch, natural language processing, deep learning, data acquisition. And, of course, a whole lot of Python, Go, and C++.