Currently a graduate student studying at University of British Columbia, focused on regression, supervised/unsupervised machine learning, data visualization, and the data analysis pipeline from the start to the end without violating the Golden Rule of machine learning and understanding its effect on the bias-variance tradeoff.Collaborated with a team on a senior year Capstone project sponsored by Boeing, with a focus on using Google MediaPipe pose landmarker model with an Intel RealSense depth camera. Passionate about the combination of both software and hardware in computing. Example includes building an analog computer using op-amps to solve second-order ordinary differential equations and using VHDL to simulate a RISC-V processor running real RISC-V instructions.