Xintong Liu is a dual-degree Data Science and Mechanical Engineering student at the University of Michigan and UM-SJTU Joint Institute, combining 11 years of technical experience with hands-on robotics and product design. She has led award-winning interdisciplinary projects—like an automatic card dealer and a ball-catching robot—and applied data-driven methods to optimize point cloud processing and energy-efficient consumer products. Her research work includes adapting keypoint detection for aircraft manufacturing and developing CNN/BiLSTM models for IMU time-series classification, reaching 80% accuracy while addressing overfitting. As a Computer Science grader and former teaching assistant, she mentors peers in technical communication and problem-solving. Practical across C++, Python, SQL, MATLAB, and SolidWorks, she thrives at the intersection of data science, mechanical systems, and real-world prototyping.
11 years of coding experience
Bachelor's degree, Data Science, 4.00, Bachelor's degree, Data Science, 4.00 at University of Michigan
Bachelor's degree, Mechanical Engineering, 3.85, Bachelor's degree, Mechanical Engineering, 3.85 at UM-SJTU Joint Institute, Shanghai Jiao Tong University
Contributions:118 pushes, 2 branches in 5 years 4 months
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Xintong Liu - Computer Science Grader at University of Michigan