This is Johnny

I recently completed my academic journey at the University of British Columbia, earning a Master of Engineering degree in Electrical and Computer Engineering. The opportunity to immerse myself in the stunning surroundings of Vancouver while advancing my studies was nothing short of a privilege.

During my studies, I developed a strong interest in Machine Learning, Deep Learning, and AI applications. I created several exciting projects, including an autonomous combat robot using Reinforcement Learning, a guitar chord classification model based on visual and pose inputs, and a Tuberculosis Detection System using chest radiographies. I was amazed by the power and usefulness of AI for society and my research interests now lie in applying ML and DL methods to address complex computer vision and signal processing-related engineering problems.

I also had the privilege of working for Microchip as a Product Engineer Co-op. During this time, I worked on characterizing next-generation PCIe switches designed for large data center communications. I developed an obsession with semiconductor design and validation, as well as data center facilities and infrastructure. These high-performance PCIe switches enable high-speed data transfer, which is vital for AI and big data applications.

I earned a Bachelor of Engineering (Hons) in Electrical and Electronic Engineering from the University of Nottingham. During my studies, I gained a comprehensive understanding of analog and digital electronics, which was further enhanced through various practical projects. For instance, I built fully controlled step-down power converters to regulate voltage output, where I learned about PWM modulation, control system design, and PCB construction. I also developed a doppler radar speed detector for vehicle speed detection, which helped me gain valuable skills in developing signal conditioning circuits using Op-Amps, and using various lab tools such as oscilloscope for hardware debugging and validation. Additionally, I built line-following vehicles, which helped me learn how to design HMI and implement digital PID control using micro-controllers. Through these experiences, I gained robust embedded system and firmware development skills and became increasingly interested in microcontrollers, FPGAs, and lower-level hardware and computer systems.

Currently, I am researching cloud computing, AI security, as well as hardware accelerators due to the rise of AI and the increasing demand for AI infrastructure. Stay tuned for more updates.