About Me

I finished my Bachelor's of Applied Science with High Honours in 2016 in the University of Toronto's rigorous Engineering Science program with an Electrical and Computer Engineering major and a Robotics/Mechatronics minor.


Education

  • September 2016 - Present
    Stanford University
    Computer Science - Master of Science (MS)
    Stanford, CA - USA

  • September 2012 - June 2016
    University of Toronto
    Engineering Science - Bachelor of Applied Science (BASc) with High Honours
    Toronto, ON - Canada
    • Cumulative GPA: 3.93
    • Undergraduate thesis with Professors Raquel Urtasun and Sanja Fidler in Visual SLAM and 3D Scene Segmentation.
    • Award-winning TA for CSC411: Introduction to Machine Learning.
    • Won the final AER201 Engineering Design competition with 2 other teammates.
    • Ranked in the top 10% of Engineering Science students (June 2014).
  • September 2003 - June 2012
    Bayview Glen
    Ontario Secondary School Diploma (OSSD)
    Toronto, ON - Canada
    • Top of Grade (highest overall average) for Grades 11 and 12.
    • Graduated as an Ontario Scholar and Governor General’s Academic Medal holder.
    • Graduated as an Advanced Placement Scholar with Honour.

Work and Research Experience

  • May 2016 - August 2016
    Prime Air SDE Intern - Amazon.com
    Seattle, WA - USA
    • Worked with former NASA Astronaut Neil Woodward in the Flight Test team.
    • This is a highly confidential project, as such I cannot share any information about the nature of my work.
    • The project was completed successfully and a return offer was extended.
  • January 2016 - May 2016
    CSC411 Teaching Assistant - University of Toronto
    Toronto, ON - Canada
    • Award-winning TA for the popular CSC411: Introduction to Machine Learning course, taught by Professor Sanja Fidler at the time.
  • September 2015 - May 2016
    Undergraduate Thesis - University of Toronto
    Toronto, ON - Canada

    Worked with Professors Raquel Urtasun and Sanja Fidler to:

    Create a semantically labelled 3D map of an outdoor environment from video recorded by a quadrocopter and augment that map with cartographic data (ie. from OpenStreetMap).

    More specifically, the goals of the project were:

    • Fly a quadcopter around an outdoor environment and, from video recorded during the flight, create a 3D reconstruction of the environment. The LSD-SLAM algorithm was used for this since the cameras available to us were monocular.
    • Design and implement a data annotation framework to support and automate the labeling of collected data.
    • Label objects within the 3D representation of the environment, such as people, trees, buildings, etc... For this I formulated a CRF, incorporating cartographic data.

    Project results and reports can be viewed at this Google Drive link.

  • May 2015 - August 2015
    Summer Research Intern - ETH Zurich
    Zurich - Switzerland
    • Worked in Professor Raffaello D’Andrea’s Dynamic Systems and Control laboratory, specifically in the Flying Machine Arena.
    • Removed superfluous code from an open source motor controller and implemented new features such as motor calibration, emergency safety states, and a better motor startup routine in C.
    • Simulated dynamic motor and propeller system responses in Python.
    • Technology used: STM32 C Code, Motor Controller PCB Chips, Quadrotor Flying Vehicles.
  • May 2014 - July 2014
    SDE Intern - Amazon.com
    Seattle, WA - USA
    • Worked on the Demand Forecasting team creating a real-time simulation tool. The project was completed successfully and a return offer was extended to me.
    • Worked with Big Data, using the Hadoop framework (MapReduce, HDFS, etc.) to process large amounts of simulation data generated by a machine learning module.
    • Created a web service with Spring, designed and implemented a website UI with GWT, and used the AWS SDK for storing and retrieving data from S3.
    • Gave a presentation to 100+ Amazon employees regarding my project and its design, implementation, and performance.
    • Concepts employed: Big Data, Highly Scalable Distributed Systems, and Data Mining.
  • May 2013 - August 2013
    Agile Engineer Co-op - Xtreme Labs (now Pivotal)
    Toronto, ON - Canada
    • Learned Agile development methodologies and applied them to real-world projects.
    • Provided input on and helped develop an app that has 1,000,000+ installs.
    • Technology used: Android SDK for apps and HTML/CSS3/PHP for website development.

Awards

  • September 2012 - June 2016
    Dean’s Honour List
    Toronto, ON - Canada

    Placed on the Dean’s Honour List for all undergraduate semesters.

  • May 2016
    Engineering Science Award of Excellence
    Toronto, ON - Canada

    Received for maintaining a CGPA greater than 3.90.

  • May 2016
    Computer Science TA Award
    Toronto, ON - Canada

    Received for being the best Computer Science TA in the Winter 2016 semester.

  • September 2012
    University of Toronto Scholarship - $7,500
    Toronto, ON - Canada

    Received for being one of the top 300 entrants to the University of Toronto in 2012.

  • June 2012
    Governor General’s Academic Medal
    Toronto, ON - Canada

    Received for having the highest average upon graduating from a secondary school.

  • June 2012 and June 2011
    Top of Grade
    Toronto, ON - Canada

    Received for having the highest overall average.

  • June 2012
    Computer Science, Chemistry, Calculus, and Physics Awards
    Toronto, ON - Canada

    Received for the highest average in AP Comp. Sci., AP Chemistry, AP Calculus, and AP Physics.

  • March 2012
    ECOO Regional Programming Contest 3rd Place
    Toronto, ON - Canada
  • June 2011
    Bayview Glen Scholarship - $3,500
    Toronto, ON - Canada
  • April 2011
    Canadian Senior Math Contest Distinction
    Toronto, ON - Canada

    Received for placing in the top 5% of the University of Waterloo Canadian Senior Math Contest.