Tony Le is an incoming Machine Learning Engineer with a strong foundation in computer science and software engineering from the University of Washington Bothell and ongoing graduate study at Georgia Tech. He has hands-on experience building collaborative VR educational tools as an undergraduate research developer and supported AI engineering efforts during a software engineering internship at DocuSign. Starting a machine learning role on DocuSign’s AI team, Tony blends practical engineering with research-driven projects and maintains a public code presence on GitHub. Based in New York but educated and experienced across different regions, he’s seeking internships or entry-level roles where he can apply multidisciplinary skills in ML, systems, and immersive collaboration. A less obvious strength is his experience scaling interactive experiences for group learning, which informs his approach to user-centered ML solutions.
11 years of coding experience
1 year of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of Technology
High School Diploma, High School Diploma at Cascade High School
Bachelor's degree Computer Science, Bachelor's degree Computer Science at University of Washington Bothell
Contributions:185 commits, 182 pushes, 1 branch in 3 years
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