I studied Computer Science at the University of Toronto. I’m interested in startups, software development, programming languages, and systems design. I hack with vim, git, and my Mac.
I worked on the Chrome Metrics team. During my internship, I mainly worked on implementing the sharing of experiment state between Chrome processes via shared memory. I dealt with memory close to the metal on all platforms. This improved memory usage and performance and avoided command-line length limits.
I worked on the Mesos/Aurora team. I helped migrate our team's alerts to Twitter's new alerting infrastructure, implemented watchdog support for Mesos, and various other infrastructure-related tasks.
I worked on the consumer-web and recommendations team. I worked on tabbed photo browsing, which can be seen here: https://www.yelp.com/biz_photos/coffee-project-new-york-new-york. I worked on the front-end, back-end, and the machine learning that powers the photo classification.