Summary
Kyle Wagner is a Software Engineer Intern and junior at Carnegie Mellon University studying Statistics & Machine Learning and Mechanical Engineering, with about a decade of hands-on experience across research labs, startups, and finance. He has built full-stack features like Angular admin panels connected to REST APIs at MUFG and one-click checkout functionality at PeachPay, and has implemented search and automation tools in JavaScript and Python for a startup. His research background includes ML projects ranging from neuron transport simulations to imbalanced classification for banking-crisis prediction using XGBoost, SVM, and ensemble methods. Comfortable bridging research and product development, he also has experience leading and presenting multidisciplinary teams, including guiding 18 interns in a corporate case competition.
11 years of coding experience
1 year of employment as a software developer
High School Diploma, General Studies, High School Diploma, General Studies at The Haverford School
Bachelor of Science - Statistics and Machine Learning, Mechanical Engineering, Bachelor of Science - Statistics and Machine Learning, Mechanical Engineering at Carnegie Mellon University
English, Chinese, French