Summary
Matthew E is a versatile software engineer and data scientist pursuing a master's at UC Berkeley with 10 years of hands-on experience building production systems for Fortune 500 clients. He has delivered machine learning models, data pipelines, dashboards, and security tooling across domains including cybersecurity, healthcare, e-commerce, and consumer devices at companies such as Google, Meta, USAA, and CVS Health. Proficient in Python, C#, Java, SQL and containerization, he has a track record of speeding up test automation, modernizing alerting/authentication systems, and translating legacy Java services to Python for more maintainable deployments. At Google he rebuilt ML testing and dashboarding for Pixel hardware validation, and at Socratics.ai he applied advanced parsers to extract detailed financial line items for analysis. Colleagues rely on his debugging and optimization skills to deliver complex, cross-functional projects on time, and he’s passionate about pushing ML from prototype to practical impact. Based in Livermore, CA, he pairs rigorous academic training with pragmatic engineering to turn data into actionable product improvements.
10 years of coding experience
6 years of employment as a software developer
Master's degree, Information and Data Science, Master's degree, Information and Data Science at University of California, Berkeley
Bachelor’s Degree, Computer Science, 3.65 GPA, Bachelor’s Degree, Computer Science, 3.65 GPA at California State University-East Bay
Computer Science, 3.24 GPA, Computer Science, 3.24 GPA at Las Positas College
High School, Computer Science, 3.91 GPA, High School, Computer Science, 3.91 GPA at Livermore High School
English