David Tan
About David Tan
David Tan is a Lead Machine Learning Engineer at Thoughtworks in Melbourne, Australia, with a background in Political Science from the National University of Singapore and The George Washington University. He has extensive experience in software development and machine learning, having worked in various roles in Singapore and authored a book on machine learning teams.
Current Role at ThoughtWorks
David Tan serves as the Lead Machine Learning Engineer at ThoughtWorks in Melbourne, Victoria, Australia. He has held this position since 2022, contributing to the development of machine learning strategies within the organization. His role involves leveraging his expertise in machine learning engineering to drive innovative solutions and enhance the company's capabilities in this field.
Previous Experience at ThoughtWorks
Before his current role, David worked at ThoughtWorks as a Software Developer from 2016 to 2022 in Singapore. During this six-year tenure, he gained valuable experience in software development, which laid the groundwork for his transition into machine learning engineering. His contributions during this period helped shape various projects and initiatives within the company.
Education and Expertise
David Tan holds a Bachelor of Science (BSc) in Political Science from the National University of Singapore, where he studied from 2009 to 2013. Additionally, he attended The George Washington University for 11 months in 2011, also focusing on Political Science. His educational background complements his technical skills in machine learning and software development.
Professional Background
David's professional journey includes significant roles in both the public and private sectors. He worked as an Assistant Director at the Ministry of Trade and Industry (Singapore) from 2013 to 2016, where he gained insights into trade policies and sustainable development. He also served as a Research Intern at the International Centre for Trade and Sustainable Development (ICTSD) in Geneva, Switzerland, in 2012.
Authorship and Contributions
David is a co-author of the book 'Effective Machine Learning Teams,' published by O'Reilly. This work, co-authored with Ada Leung and David Colls, focuses on best practices for building and managing machine learning teams. His contributions to the field of machine learning extend beyond engineering roles, showcasing his commitment to advancing knowledge in this area.