I worked to create an environmentally sustainable dashcam that resuses cardboard for the Samsung Solve For Tomorrow Design Competition with a team of 2 other students. The other students Assam Haq and Ethan Rajkumar study mechatronics, and statistics combined with chemistry respectively. The project included a prototype and design for the product. It also included an analysis of the effects of the project on the community.
Here’s our video submission:
You can find the more information here:
CPSC 440 (Advanced Machine Learning) is a course I completed at UBC. The course focused on machine learning from a probabilististandpoint. The final deliverable for the course is paper detailing an experiment of our choice done to explore the field of machine learning.
CPEN 455 (Deep Learning) is a course I completed at UBC. The course focused on understanding the concepts and techniques underlying the field on deep learning. The final deliverable of the course was modifying the architecture of a generative model to improve its performance and make it additionally a function as a classifier. We explored the mathematics and theory of backpropagation, optimizers, CNNs, transformers, LLMs, VAEs and more. It was taught by Professor Renjie Liao. UBC provides the following description of the course
CPEN 311 (Digital System Design) is a course I completed at UBC. The course involved using an FPGA to design digital systems. It also covered relevant problems and limitations that appear with large digital systems.
