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University of Waterloo
Bachelor of Applied Science, Mechatronics Engineering
January 1, 2012 – January 1, 2017
Turner Fenton Secondary School
OSSD, High School/Secondary Diplomas and Certificates
January 1, 2008 – January 1, 2012
Swift
Co-founder & CEO
October 1, 2021 – Present
Toronto, Ontario, Canada
Shopify
Product Manager
June 1, 2021 – July 1, 2021
Shopify
Apprentice Product Manager
October 1, 2020 – June 1, 2021
Shopify
Data Scientist
January 1, 2018 – October 1, 2020
Nuvation Engineering
Software Design Engineer
May 1, 2016 – August 1, 2016
Waterloo, Ontario
Lumotune Inc.
Firmware/Hardware Engineer
September 1, 2015 – December 1, 2015
Waterloo, Ontario
Athos
Python Engineer - Research/Data Science
January 1, 2015 – April 1, 2015
Redwood City, California
Pivotal Labs
Agile Engineer
May 1, 2014 – August 1, 2014
Toronto, Ontario
BlackBerry
Software Developer
September 1, 2013 – December 1, 2013
Waterloo, Ontario
Kik Interactive, Inc.
Release Engineer
January 1, 2013 – April 1, 2013
Waterloo, Ontario
CNN: Adversarial MNIST
September 1, 2017 – October 1, 2017
- Developed a Deep CNN MNIST classifier in TensorFlow: classified digits with 99.2% - Created adversarial images to successfully fool the classifier
LogReg: LendingClub Loan Approvals
September 1, 2017 – October 1, 2017
- Wrangled a dataset with 200,000 entries to extract insights from a user's credit profile - Developed a Logistic Regression model predicting loan approvals with 90%+ accuracy
Modified KNN: Predicting Housing Prices
September 1, 2017 – October 1, 2017
- Implemented a modified KNN algorithm in Python that accounts for time leakage, essentially ignoring training samples that have a home closing date prior to the input - Utilized MRAE to evaluate the performance of the modified algorithm
SVM: Lung Cancer Classification
April 1, 2017 – July 1, 2017
• Created a SVM classifier that identified malignant lung nodules with 70% accuracy • Developed the algorithm in Python using TensorFlow, SciPy and LBP
ANN: Sizing Up Pokemon
April 1, 2017 – Present
• Developed an artificial neural network (ANN) in MATLAB that classified over 550 Pokemon based on size with over 90% accuracy • Expanded algorithm capabilities to successfully classify Pokemon based on both size and colour
BioBit: Gait Analysis Insole
September 1, 2016 – April 1, 2017
• Led and reviewed the PCB design process using Eagle, from component selection through to schematic entry and layout • Awarded $7000 in equity-free funding from University of Waterloo’s St. Paul’s Greenhouse and OCE • Accepted into Stage 1 of the Velocity Garage, the largest free startup incubator in the world
All About the Space: A Thorough Review of PCB Design Techniques in Modern Times
November 1, 2015 – Present
• Attended Freescale PCB Design Seminar to learn and discuss physics behind electrical design • Compiled important techniques to create effective PCBs that follow modern EMC standards • Applied efficient tactics to create important philosophies in order to assist in proper schematic and layout designs in the future
Cultural Fit Analysis
The candidate demonstrates a broad range of interests and experiences, from hardware design to data science and product management. The entrepreneurial background and diverse project portfolio suggest a proactive and innovative mindset. However, the target role is 'iOS Developer', and the candidate's experience does not directly align with iOS-specific development, which could impact cultural fit within a dedicated iOS team without prior exposure.
Soft Skills & Operational Fit
The candidate's diverse project and work experience, including leadership roles, suggests adaptability and a proactive approach. Experience in agile environments and release engineering indicates an understanding of operational workflows. However, specific soft skills like teamwork or problem-solving are not explicitly detailed in the provided data.