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I am a mechanical engineer specializing in robotics and control systems, currently advancing my expertise through a Master’s program at Columbia University. My journey in mechanical engineering began with a strong educational foundation and has grown through dynamic hands-on experiences. I bring a blend of technical acumen, creative problem-solving, and a drive to innovate, all focused on enhancing mechanical design, production efficiency, and automation. Above all, I am committed to continuously learning and adapting to the evolving landscape of engineering.
About me
My core strength lies in my ability to combine theoretical knowledge with practical applications, allowing me to understand both the “how” and the “why” behind engineering challenges. This holistic approach ensures that I am not only able to deliver precise technical solutions but also communicate their broader impact effectively.
Beyond engineering, I value versatility and collaboration. I thrive in diverse team environments, where leveraging different perspectives and embracing new technologies leads to smarter designs, optimized workflows, and ultimately, better outcomes for any project I undertake.
Work Experience
Position 1: Graphic Design Intern at Meteor Lighting
As a Mechanical Graphic Design Intern at Meteor Lighting, I worked on optimizing lighting systems by conducting simulations with Autodesk Revit and Dialux, reducing energy consumption while maintaining superior illumination quality. I also led heat treatment experiments to improve product durability and translated complex 3D designs into precise technical drawings using SolidWorks and AutoCAD.
Position 2: Module Equipment Engineer at TSMC
As a Module Equipment Engineer Intern at TSMC (Taiwan Semiconductor Manufacturing company), I managed tool performance in semiconductor manufacturing, ensuring wafer drying optimization, consistent production standards, and enhanced overall process quality.
Position 3: Graduate Research Assistant at columbia ditect lab
In Columbia University’s DitecT Lab, I integrated AWS DeepRacer—an autonomous, cloud-based reinforcement learning vehicle—into ROS2 and Linux environments, pioneering direct physical joystick controls and dynamic LED systems. This unique integration provided me with an in-depth understanding of AWS’s underlying structure, allowing me to seamlessly bridge cloud-based AI training with real-world robotic operations for enhanced responsiveness, data logging, and continuous improvement.
Acadamic Project
Project 1: Robotic Studio
In this hands-on course, my partner and I undertook the challenge of designing a legged robot from the ground up. The process had the entire robotic development pipeline—from kinematics and industrial design to mechanical fabrication, electronics integration, and software programming. We employed LX-16A servomotors, a single-board computer controller, and various accessories to bring our concept to life. Using a combination of Python scripts, we refined our robot’s movements, calibrating zero positions, scanning servo IDs, and testing a series of walking patterns.
Project 2: VR5 – Formula racing car
I engaged the construction of “VR5,” a groundbreaking gasoline-powered FSAE race car that led my team to victory at the Formula Student Taiwan competition. This venture not only demonstrated technical ingenuity and adaptability but also established new standards of innovation for future engineering endeavors.