Songwong Tasneeyapant is a computer science junior at the University of Wisconsin–Madison with nine years of hands-on experience across robotics, mobile, and machine learning projects. As an undergraduate research assistant at the Wisconsin HCI Lab he develops C++ and Raspberry Pi control code for a reading-companion robot that records child interactions to improve engagement—bridging embedded systems with human-centered research. He has interned on Android app features and content-moderation models, contributed deep-learning code for Thai named entity recognition, and built Python prototypes for real-time traffic anomaly detection. A high-achieving student (3.981 GPA) active in UW’s AI club, he combines strong academic performance with practical mentorship under professors and PhD researchers. Notably, his work focuses on measurable user outcomes—using recorded behavior to iterate robot interaction models—demonstrating a rare blend of system-level engineering and user-centered evaluation.
9 years of coding experience
1 year of employment as a software developer
Bachelor of Science (BS), Computer Science, 3.981, Bachelor of Science (BS), Computer Science, 3.981 at University of Wisconsin-Madison
High School, Math & Science, High School, Math & Science at Suankularb Wittayalai School
High School, Science, 3.89, High School, Science, 3.89 at The Governor's Academy
Contributions:4 releases, 898 reviews, 423 commits in 3 months
reactwebappfrontend
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Songwong Tasneeyapant - Undergraduate Research Assistant