Hi, I'm Kenson! 👋

I'm studying Computer Science and Business Administration at UWaterloo and Wilfrid Laurier University.

Currently a Machine Learning Engineering Intern at

Nokia

!

Previously, I...

  • Created infrastructure for Autonomous Networks at

    Nokia

  • Built ML proof-of-concepts to streamline workflows at

    WSIB

  • Made the UI/UX snappier and cleaner at

    Dayforce

    (previously Ceridian)
  • Shipped speedy automations at

    The Cooperators

  • Created a dashboard for an IoT Smart Home at

    Zogrox Group Inc.

Kenson climbing a tree

Projects

These are highlights of my favourite projects. Hope you enjoy!

Real-time Speech-to-Speech Translation

Real-time Speech-to-Speech Translation

Using Whisper v3 and MS SpeechT5, we created a program that can translate a conversation across 96 languages to English. This can be used for any video conferencing software with the help of virtual microphones.

Built with Emma Song

wiki3

wiki3

The goal of this project is to bring true information to Web3 through transparent and decentralized voting of veracity with Decentralized Identification (DIDs).

Winner of Best Use of Polygon ID at Ethglobal NYC 2023

Treeline - Supercharged Paper Reading

Treeline - Supercharged Paper Reading

The goal of Treeline is to allow users to build their own tree of prequisite knowledge so they can dive into any paper and understand it at a deep level in a fraction of the time.

Built with Eden Chan and Charles Liu

Canadian Children's Book Centre

Canadian Children's Book Centre

Working as part of UWBlueprint, we partnered with CCBC, a non-profit organization, to develop a streamlined application to allow authors to signup for book readings at schools and community centres.

UW Blueprint

React Three.js Demo

React Three.js Demo

This project was to learn how to handle 3D graphics, assets and animations within the browser using Three.js.

Individual project

Speaker Diarization and Sentiment Analysis

Speaker Diarization and Sentiment Analysis

The goal of this project is to speed up the process of reviewing call quality of customer service representives and companies. We implemented speaker diarization and sentiment analysis to perform these quality checks faster.

Finalist at the WSIB 2023 Hackathon