Richard Freeman
About Richard Freeman
Richard Freeman is the Co-founder and CTO of Vamstar, where he developed a platform that predicts and matches public contracts for healthcare suppliers across 75 countries using advanced technologies. He has a background in machine learning and natural language processing, with experience in various roles across multiple companies and has presented at major industry events.
Work at Vamstar
Richard Freeman serves as the Co-founder and CTO Data at Vamstar, a position he has held since 2019. He leads the development of a platform that predicts and matches public contracts for healthcare suppliers across 75 countries. This platform utilizes custom deep learning, machine learning, and natural language processing models to provide strategic tender insights, smart suggestions, and buyer preference predictions for healthcare contracts.
Education and Expertise
Richard Freeman has a robust educational background in machine learning and computer systems engineering. He studied at the University of Manchester, where he earned a Master of Engineering (M.Eng.) in Computer Systems Engineering from 1996 to 2000. He continued his studies at the same institution, obtaining a Ph.D. in Machine Learning and Natural Language Processing from 2000 to 2004. Additionally, he studied at the Centre International de Valbonne from 1989 to 1996.
Professional Background
Richard Freeman has extensive experience in the technology and healthcare sectors. He worked as a Research Scientist at Philips Research for one month in 1999. He served as a Solution Architect at Capgemini from 2004 to 2010. Following this, he was the Lead Data & Machine Learning Engineer at JustGiving from 2013 to 2019. He also held positions as a Developer at Telefonica for one month in 2000 and as a BI Architect and Lead Developer at PageGroup from 2010 to 2013.
Speaking Engagements
Richard Freeman has presented at major industry events, including AWS Re:Invent and AI Summit. His participation in these events highlights his expertise in data science and machine learning, particularly in applications relevant to the healthcare industry.
Publications and Courses
Richard Freeman has authored a book and created two video courses that are available on platforms such as Packt, Udemy, and O'Reilly Safari. These resources contribute to the field of machine learning and natural language processing, reflecting his commitment to sharing knowledge and expertise.