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Sitemap
A list of all the posts and pages found on the site. The XML version is available for digesting as well.
Pages
About Me
Welcome! This is the landing page of the website where I introduce myself.
Resume/CV
Ready-to-download versions of my resume and CV.
My Hobbies
A highlight reel of some memorable moments while pursuing my hobbies.
Projects
An overview of some interesting technical projects I’ve created.
Research
A collection of all the published research works I’ve been involved in.
Posts
passions
Court Booking Bot
Booking badminton courts at the University of Toronto is hard. That’s why I made a little bot to help me fight for court space.
projects
Fault Classification in Mixed Autonomous and Human Driven Vehicles
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.
Persistent, Scalable, and Replicated Distributed Key-Value Storage System
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.
Reactor Log Analysis Tool
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.
ParaEst: A Machine Learning-based Parasitic Capacitance Estimation Tool
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.
Deep Recurrent Attention Model (DRAM)
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).
research
Multi-Head Attention Machine Learning for Fault Classification in Mixed Autonomous and Human-Driven Vehicle Platoons
Published:
This paper introduces a new multi-head attention model for handling the fault classification task in mixed autonomous and human driven platoons. The paper is a corollary work to my undergraduate EngSci thesis and was accepted as a contributed paper to ICRA2023.
Download here
Computational Pathology: A Survey Review and The Way Forward
This paper provides a comprehensive literature review of the field of computational pathology to identify key challenges in the current research landscape. The work was conducted during my 2nd-year summer research experience with the MultiMedia Lab at the University of Toronto and was accepted in 2024 for publication in “Journal of Pathology Informatics.
Download here