Welcome
Hi! I'm currently working as a remote software engineer at Lime, a startup in San Francisco. I recently graduated from the University of Waterloo.
My primary hobby is coding. I've been coding for over 10 years. I started by modifying video games, then moved on to making websites and apps. I'm currently working on machine learning algorithmic trading bots for cryptocurrencies. I also enjoy playing board games and video games; traveling; learning about philosophy, psychology, and science; and learning about other people's perspectives on life.
2018
LimeBike
Remote Software Engineer
Working on web features across teams: admin dashboard for operators and customer support, mobile webview experiment platform, experiment analysis dashboard. Also wrote revenue prediction machine learning model for scooter deployments.
University of Waterloo
Bachelor of Computer Science, Psychology Minor
Dean's Honors List, President's Scholarship.
2017
Machine Learning Intern, SEO Team
Trained a model to classify whether search terms are "appropriate" as Pinterest topics.
Created SEO experiments such as re-ranking Pin descriptions and leveraging Pin buttons for backlinks.
2016
Front-End Intern, Content Creation Team
Allowed users to save drafts on web.
Decreased perceived wait time for uploading media.
Software Engineering Intern, Chrome Metrics Team
Wrote a tool to find unused logging in Chrome's source code and automatically remove them.
Built visualizations of high-dimensional Chrome usage data.
2015
Square
Software Engineering Intern, Online Store Team
Helped build an online marketplace for Square's merchants.
Projects
Online Tools
2019 - current
A set of tools to earn passive income.
Crypto Trading Bots
2017 - current
Experimenting with various trading strategies, such as exploiting buy walls, creating social signals, or looking for active market manipulation.
OmniFeed
2012 - 2016 (shut down)
OmniFeed removes the clutter from your news feed to make it easier to find the news you care about.
Linksku
2010 - 2012 (shut down)
Linksku allows users to share and discover links to the most popular sites and articles on the Internet.