Summary
Dylan Siegler is a Senior Data Scientist with six years of experience applying machine learning and analytics to safety, authentication, and social systems at Roblox. A Georgia Tech computer science senior by training, he blends industry internships and research—spanning predictive analytics at John Deere to AR and computer vision projects in academic labs—into pragmatic production work. At Roblox he progressed from data science intern roles into leading efforts on account security and identity management, translating user behavior signals into robust safety interventions. His background includes developing state-of-the-art ML methods for video-based pitch classification and prototyping AR tools for healthcare education, showing a knack for cross-disciplinary problem solving. Based in California, he is passionate about robotics, computer vision, and shipping data-driven features that materially improve user safety. An uncommon strength is his ability to move between research-grade models and scalable product implementations.
6 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Computer Science, Senior, Bachelor's degree, Computer Science, Senior at Georgia Institute of Technology
High School Diploma, High School Diploma at University School