About

Brian Booth is a highly experienced Machine Learning Engineer with over 22 years of relevant experience in the field. Currently, he works at KERV Interactive, where he is responsible for developing and implementing machine learning algorithms to improve the company's web-based applications. Brian has an extensive background in software engineering, with his most recent role being Senior Software Engineer at ediets.com. In this position, he designed a cleanup program using Java/XML to migrate data from an MSSQL database to Microsoft Dynamics NAV ERP. Additionally, he was a member of a tiger team tasked with migrating the company from ColdFusion to ATGs Dynamo Application Framework. Brian also maintained and developed extensions for Nutrio's custom web framework. Prior to his role at ediets.com, Brian worked as a Senior Java Developer at Computer Sciences Corporation (CSC). He was later contractually transferred to CACI, where he continued his work as a Senior Java Developer. Brian's experience at KERV Interactive has allowed him to work with a variety of technologies, including AWS, Javascript, Pytorch, and Python. He has also demonstrated his proficiency in UI design, having enhanced the UI of KERV Interactive's web-based applications to reduce user fatigue. Brian has a strong background in both frontend and backend development, with experience in dotNET, ASP.NET, MongoDB, and Redux. In his current role, Brian has incorporated a PyTorch-based machine learning research project that detects unclassified objects to support KERV Interactive's Smart select tool. He has also added a data bridge using AWS Lambda code that triggers upon data S3 bucket updates, which updates and synchronizes the database after scanning for any possible conflicts using merged data from various internal API calls. Overall, Brian Booth is a highly skilled Machine Learning Engineer with a wealth of experience in software engineering and a strong background in UI design. His expertise in a wide range of technologies and his ability to implement machine learning algorithms make him an invaluable asset to any organization.