Columbia University
2026 — EXPECTED 2028M.S. Electrical Engineering · AI Engineering Specialization
Fu Foundation School of Engineering and Applied Science
Electrical Engineering master’s student at Columbia University, specializing in AI Engineering. Building across robotics, machine learning, and scientific computing.
My work spans robot perception and manipulation, GPU-accelerated computing, and data-driven systems.
From programming an industrial spray-painting robot to researching sparse matrix algorithms, I enjoy bringing software and engineering together to solve concrete problems.
M.S. Electrical Engineering · AI Engineering Specialization
Fu Foundation School of Engineering and Applied Science
B.S. Systems Engineering and Design · Grainger College of Engineering
Secondary field in Autonomous Systems and Robotics. Minors in Computer Science and Statistics.
Senior Design · UTLX / Marmon Holdings
Programmed a UR10e robot with ROS2 to spray-paint the interior of train tank cars. Built and 3D-printed a test model.
1st Place · Fall 2025 Bernt O. Larson Project Design AwardMachine Learning · Computer Vision
Used Linux, CUDA, C, and PyTorch to train machine learning models for object perception and manipulation.
Engineering Open House Exhibit
Built flex sensors to control a six-degree-of-freedom robot arm. Programmed it with C++ and Arduino, and 3D-printed and assembled the frame.
Acquired live electromyography data from a gaming armband using Arduino and PySerial for an Engineering Open House exhibit.
Scraped live NHL scores with Python, Requests, and Beautiful Soup 4, then triggered team-specific goal horns with Pygame.
Implemented breadth-first search, Dijkstra’s algorithm, and PageRank in C++ to explore airport and flight data.
R&D Intern, Design Platform · Beijing
Engineering Intern · West Haven, Connecticut
Automated data manipulation processes, improving efficiency by over 25% per run. Identified and escalated a corporate database security flaw for company-wide action.
Data Intern · San Francisco
Collected data for AI advertising.
Research Assistant · Computer Science
Modeled social hierarchies in faculty hiring through graph data mining. Built Neo4j databases and relationship graphs with Cypher, and implemented a Minimum Violation Ranking algorithm in C++ and Python.
C / C++, Python, Java, ROS / ROS2, MATLAB, R, MIPS Assembly, Verilog, LabVIEW, ngspice
Git, Qt, Simulink, NumPy, SymPy, PyTorch, Pygame, pandas, Shiny, dplyr, ggplot2
SQL, Neo4j / Cypher, WinLIMS, JD Edwards, Minitab, LotusNotes, Excel VBA
Ansys Mechanical, PrusaSlicer, Autodesk Fusion 360, 3D printing, TeX, macOS, Linux, Windows
English: native · Chinese: fluent, spoken and written · French: proficient, Level 4
Piano: Advanced PD Certificate and High School Diploma, American College of Musicians, 2019
For research, engineering opportunities, or a conversation about robotics and AI.
[email protected] ↗LinkedIn ↗