EDUCATION

University of Waterloo, Bachelors of Computer Science, Combinatorics and Optimization Minor, 2013 - 2018

Dean Honour's List with Distinction

Relevant Courses: Data Structures and Data Management, Algorithms, User Interfaces, Object-Oriented Software

EXPERIENCE

Instagram, Software Engineer - Security & Privacy Team, Fall 2019 - Present, New York, NY

Building infrastructure to improve security in our product features, such as end to end password encryption and user authentication with cryptography

Instagram, Software Engineer - Feed Delivery Team, Fall 2018 - Fall 2019, New York, NY

Developing a reliable & efficient platform that ties in ads, ranking, and organic content to be delivered to the ciient
Personalization of feed parameters with adaptive experimentation and A/B testing

Instagram, Software Engineer - Core Services Team, Fall 2017, Menlo Park, CA

Built features for a new query syntax on Instagram’s graph API in Python/C++; added Python typing to the entire API
Developed a Python logic comparator framework to safely test critical codepath changes in production (e.g. new privacy policies)

Facebook, Software Engineer - Core Data Team, Winter 2017, Seattle, WA

Built a data consistency verification service in C++ for ZippyDB, a distributed key-value store backed with RocksDB
The service continuously schedules snapshotting of data stores to compute checksums and detect inconsistencies across all replicated shards

Airbnb, Data Engineer - Data Tools Team, Summer 2016, San Francisco, CA

Built a mapping platform in ReactJS for dynamically visualizing and clustering points on a world map for an open-source dashboarding tool Caravel
Designed and built a framework for applying algorithms on time series data for anomaly detection (ETL from MySQL to Hadoop with Hive); implemented algorithms such as Holt-Winters in Python
Drew quantitative insights through analysis of booking and market data for deciding a key business expansion; built a Hive pipeline feeding into a dashboard to present results

SigOpt, Software Engineer, Fall 2015, San Francisco, CA

Designed and implemented hyperparameter optimization algorithms for improving machine learning models
Used d3.js to develop interactive data visualizations and statistical research tools to analyze performance regressions
Created a framework for evaluating SigOpt’s efficacy in tuning various machine learning algorithms

Toast, Software Engineer, Winter 2015, Boston, MA

Took the technical lead in developing the online food ordering platform in AngularJS and Java Play Framework
Designed a public REST API to support all menu views, orders, and transactions on the platform
Created a live-updating dashboard of user-generated Android events using Elasticsearch clusters of millions of daily data points

SAP SE, Developer, Summer 2014, Markham, ON

Aubrey - Python, Flask, scikit-learn, NLTK

Experimenting with clustering and natural language processing techniques to build a model that answers user-entered questions with a relevant Drake lyric

Chromyo - Myo SDK, JavaScript

Flick - Android, Java

Typeractive - JavaScript, PHP, Mongo

Peace Corps Connect - Android, Java, Parse

Analyzed Peace Corps listings to create Tinder-like cards, matching users with jobs
Hackathon Showcase

Languages: Python, JavaScript/HTML/CSS, SQL, Java, C++/C, PHP, Racket

Technologies: ReactJS, AngularJS, Flask, Hive, AWS

Ian Dewancker, Michael McCourt, Scott Clark, Patrick Hayes, Alexandra Johnson, George Ke. A Strategy for Ranking Optimization Methods using Multiple Criteria. Presented at ICML 2016, July 2016
Ian Dewancker, Michael McCourt, Scott Clark, Patrick Hayes, Alexandra Johnson, George Ke. Evaluation System for a Bayesian Optimization Service. Presented at ICML 2016, May 2016
Ian Dewancker, Michael McCourt, Scott Clark, Patrick Hayes, Alexandra Johnson, George Ke. A Stratified Analysis of Bayesian Optimization Methods. SigOpt, March 2016