Christopher Farrington is an undergraduate pursuing a Bachelor of Science in Computer Science at the Georgia Institute of Technology. Farrington currently serves as an Undergraduate Research Assistant at Vertically Integrated Project, focusing on computer vision applications and data preprocessing. As a Quantitative Analyst for GTSF Investments Committee, Farrington contributes to trade algorithm development, drawing on insights from a comprehensive mentorship program in macroeconomics and business analysis. Previous experience includes software development at Humyn Global, where Farrington enhanced data access speeds through API development, and research at the Georgia Tech Dynamic Adaptive Robotics Technologies Lab, which involved path-planning algorithms for unmanned aircraft. Education includes a high school diploma in Aeronautics from Alliance Academy for Innovation.
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