About
A Computer Engineering (major) and Business (minor) graduate from Simon Fraser University. Currently seeking a full-time position to utilize their skillset and knowledge to further both personal and organizational goals.
Experienced in both the hardware and software aspects of the field. Proficient in programming in C/C++, Python, Swift and Assembly Language. Experienced in working with Machine Learning models, MATLAB, FPGAs, microcontrollers, GPUs and standard lab equipment, including SPA.
Very passionate about the ins and outs of Business and due to interdisciplinary studies, has worked on both academic and technical projects, with groups in various sizes, allowing for further polishing of leadership and soft skills.
EXPERIENCE
Including but not limited to
C/C++ and Micro-controllers
Extensive experience in working with C++ (my programming mother-tongue, if you will) and microcontrollers for both time-critical applications as well as for deployment of machine-learning models.
iOS App design and deployment
Very comfortable with Swift, Xcode and CoreML. Extensive experience in conversion and deployment of machine learning models on the iOS platform.
Machine Learning
Experienced in succesfully training and deploying object-detection machine learning models, as well as configuring and converting models to other libraries/platforms.
PROJECTS
Some of my recent projects
BARE METAL REAL-TIME SYSTEM ON A FPGA
Implemented a dual-core version of the Asteroids game in C++. Features included menus, sounds, multiple gameplay objects and high score functionality using interrupts, custom IPs and the VGA port for video output. Also gained experience in object drawing and scaling in hardware (VHDL) of bitmaps.
View CodeMACHINE LEARNING IMAGE COMPRESSION MODEL ON iOS
Designed and created a presentable UI and logo for an iOS application to showcase Dr. Liang's ML image-compression model. Implemented algorithms in Swift to Quantize the output image and calculate image quality metrics such as MSE, PSNR, and SSIM. Also worked with Pytorch models and converted them to ONNX and CoreML for deployment.
View Code
SELF-DRIVING CAR
Researched and trained various object-detection models to detect traffic signs on the road. Improved object detection by collecting data in all light conditions to make the model more accurate. Assisted my team in creating a neural network that could steer the car using camera input.
View CodeGET IN TOUCH
I would love it if you reached out, so, don't hesitate if you have any questions or just want to say Hi!