Khie Biggs
About Khie Biggs
Khie Biggs is a Software Engineer with a background in Political Science from Queen Mary University of London. He has worked at Redgate Software and Thought Machine, specializing in backend development and data anonymization tools for SQL databases.
Work at Redgate Software
Khie Biggs has been employed at Redgate Software since 2018, where he holds the position of Software Engineer. His role primarily involves the development of data anonymization tools tailored for SQL databases. This work contributes to enhancing data security and compliance within database management systems. Redgate Software is known for its focus on database development and management tools, and Biggs plays a significant role in advancing these technologies.
Current Role at Thought Machine
In addition to his position at Redgate Software, Khie Biggs has been working as a Backend Engineer at Thought Machine since 2020. His responsibilities in this role include developing backend systems that support cloud-based banking solutions. Thought Machine is recognized for its innovative approach to core banking technology, and Biggs's contributions are integral to the company's mission of modernizing banking infrastructure.
Education and Expertise
Khie Biggs studied at Queen Mary University of London from 2016 to 2018, focusing on Political Science and Government. He also attended Makers in 2018, where he studied Computer Programming and Web Development. His educational background provides a foundation for his expertise in backend and full-stack development, allowing him to engage in various programming projects effectively.
Programming Skills
Khie Biggs possesses skills in multiple programming languages, including C#, Java, and JavaScript. These languages are essential for his work in software engineering, enabling him to develop robust applications and systems. His proficiency in these languages supports his roles at both Redgate Software and Thought Machine, where he applies his technical knowledge to solve complex problems.