Ash Yu-Xiang Chen

About Me

Hello! I’m Ash, a senior year Systems Engineering student hungry for experience! I have worked in 3 startups in Software Engineering and Firmware Engineering over the course of 2 years as part of my internship and co-op program at the University of Waterloo. I am proficient in programming languages such as Python, Java, and C/C++. I excel in independent work and designing efficient, scalable code. One of my proudest achievements is winning Best Scalable Design, and Byest Overall at HawkHacks, our team then went on to release the app, garnering 100 users each month and 10,000 users in total.

In addition to my technical skills, I am highly motivated and capable of leading teams in long term projects. I thrive in fast-paced environments where I can collaborate and communicate with other tech professionals. My commitment in continuous learning and personal up-skilling is shown by my dedication to volunteering and helping start ups launch.

Outside of work, I volunteer at a retirement home, making elderly visits and creating wonderful discussion over tea, desserts, and chess. I also enjoy practicing Muay Thai and kickboxing, following the sport in fights within the UFC.

Education

Systems Design Engineering 3rd Year

University of Waterloo

By blending engineering fundamentals with a strong emphasis on software and information technology applications, the Systems Design Engineering program at the University of Waterloo nurtures skilled professionals who can innovate, design, and implement cutting-edge solutions in the dynamic field of technology.

Work & Experience

Software Engineer

OtO Inc

09/05/2022 - 12/19/2022

Programmed FPGA automated software test system, identifying 120 faulty units, saving $36000 in refunds Designed PCB utilizing Altium for control of automated test systems (i.e lights, solenoid valves) Analyzed and wired a customized electrical box using self-sourced components for integration into the final automated testing setup, reducing time for the final automated testing by 50%. Developed AI-powered weather detection function on GCP containers, deployed across 200 early-users Improved firmware efficiency by optimizing code, resulting in a 13% reduction in memory usage Simulated pathing algorithms in MATLAB, achieving a 20% reduction in average path length

Skills

Programming
80%
Software Design
75%
Systems Design
80%
Project Management
80%