- Current Role: Cloud Architect, Lead Data & Machine Learning Engineer
- Specialties: AWS and Azure Cloud Computing, Solution Architecture, Natural Language Processing, Serverless, Scalable Algorithms, Machine Learning, Graph Analytics, Neural Networks, Data Science, Streaming Analytics, Data Engineering
- Technologies: Python, Spark, Serverless, Scala, Amazon Web Services, Azure, NoSQL, LINUX, SQL
Dr Richard T. Freeman graduated from the University of Manchester after studying a 4 year MEng in Computer Systems Engineering. He then successfully passed an EPSRC sponsored PhD in Machine Learning and Natural Language Processing at the University of Manchester under the supervision of Dr. Hujun Yin.
He then worked at Capgemini a leading global IT services and consulting company starting as a developper and later Solution Architect, where he helped deliver large scale projects for Fortune Global 500 companies in insurance, retail banking, financial services, financial regulators and government. He then worked at PageGroup as an BI Architect on a global transformation programme across 34 countries, and recently at JustGiving a tech for good company whose aim is to maximise funding for good causes and charities using data science.
During his PhD and work in industry, he published several journals (including IEEE Transactions series) and conference papers, presented his research at international conferences. He is a blogger and speaker presenting at events like AWS Re:Invent and AI Summit, and an author of a book and two video courses available on O’Reilly Safari, Udemy and Amazon.
With a combination of artificial intelligence and natural language processing skills from his PhD and over 15+ years of experience as a data scientist, architect, and developer across the industry, he is now looking to make a difference in the world on novel use cases to benefit humanity. Richard has a passion of working on scalable and resilient cloud-based data driven consumer products and data science platforms.