Isaac B.
About Isaac B.
Isaac B. is an R&D Engineer specializing in Machine Learning at CCC Information Services in Austin, Texas, where he has worked since 2021. He has a background in computer science and data science, with experience in various roles including software engineering and research assistance.
Work at CCC Intelligent Solutions
Isaac B. has been employed as an R&D Engineer specializing in Machine Learning at CCC Intelligent Solutions since 2021. He operates within the Austin, Texas Metropolitan Area, contributing to the development of advanced machine learning solutions. His role involves applying his expertise to enhance the company's offerings in the insurance technology sector.
Previous Experience in Fundraising and Software Engineering
Prior to his current position, Isaac served as the Director of Fundraising at Startup Grind from 2018 to 2019 in the San Antonio, Texas Area. He also held a role as a Software Engineer Intern at Plus One Robotics in 2019. Additionally, he worked as a Student Analyst at Southwest Research Institute from 2017 to 2018, gaining valuable experience in research and analysis.
Education and Expertise
Isaac B. earned a Bachelor of Science degree in Computer Science, Data Science, and Software Engineering from The University of Texas at San Antonio, completing his studies from 2016 to 2019. He furthered his education by obtaining a Master of Science in Computer Science from The University of Texas at Austin, where he studied from 2019 to 2021.
Technical Projects and Innovations
Isaac has developed a Python package utilizing K-means, KNN, and OpenCV for vehicle color identification. He implemented a data preprocessing pipeline that significantly reduced preparation time from weeks to hours. His work includes analyzing large datasets to identify trends for vehicle panel blend operations and creating a generative model using the Pix2Pix architecture.
Achievements in Machine Learning
Isaac achieved a 95% validation accuracy with a convolutional neural network (CNN) model in PyTorch for vehicle classification in insurance claims. He regularly presents the results of his technical projects to key business stakeholders, ensuring alignment between technical developments and business objectives.