This is a collection of some of the bigger projects that I’ve worked on over the years. These projects range from academic coursework to personal interests. Each project has given me the opportunity to apply my knowledge through practical skill and showcase my abilities.
This project represents my EngSci undergraduate thesis. The thesis is similar to the paper submitted to ICRA2023, but with the addition of additional benchmark models, more rigorous performance validation, and a new set of experimental results.
This was a group project for our distributed systems course in which we implemented a distributed key-value store in Java with consistent hashing, failure detection, and replication features.
This was my 2022 summer intern project with my team at Amazon in Vancouver. I created an automated end-to-end log analysis and data visualization pipeline that allows developers to interact with live log records generated from the team’s service.
This was my PEY internship project with the IC Lab at Huawei Canada. I developed a machine learning method to predict and annotate parasitic capacitances from IC schematic designs. This machine learning core was packaged in a user-friendly application with various use-cases for the estimated parasitic capacitances.
This project showcases the results of some machine learning self-study during my first year summer. I taught myself the basics of machine learning and TensorFlow and was able to reproduce the deep recurrent attention model from (Ba et al., 2015) and (Mnih et al., 2014).