CV

Education

September 2020 - December 2022

MASc. in Systems Design Engineering - Machine Learning and Intelligence Specialization, University of Waterloo, Waterloo, Ontario, Canada

Cumulative GPA: 4.0/4.0

September 2015 - April 2020

Bachelor of Science in Mechanical Engineering, University of Alberta, Edmonton, Alberta, Canada

Co-operative Program with Distinction

Cumulative GPA: 3.6/4.0

Work experience

• January 2023 - Present, Aircraft Performance Engineer, Bombardier, Toronto, ON

• September 2020 - December 2022, Graduate Research Assistant, University of Waterloo, Waterloo, ON
  • Volumetric super-resolution of turbulent fluid velocity fields
  • Development of generative adversarial networks with physics enforced regularization for fluid synthesis
  • Employment of self-organizing maps for turbulent structure clustering
• Supervisor: Andrea Scott

• January 2022 - April 2022, Software Development Intern, Ansys, Remote
  • Software development pertaining to an interpreter update for ANSYS Electronics Desktop
  • Optimized an interpreter test suite that improved software function coverage by 2.5X while decreasing overall execution time by 23X when compared to the initially proposed test suite

• May 2018 - December 2018, Data Analyst, Navblue an Airbus Company, Miami, FL
  • Business case development for a novel runway safety product
  • Data analysis of flight data for runway safety and airspace management teams
  • Provided tutorials to employees to demonstrate the benefits of Airbus’ new big data platform
    • Tutorial sessions provided locally (in Miami) and at Navblue HQ in Toulouse, France
• Supervisor: Logan Jones

• May 2017 - December 2017, Project Coordinator, PCL Industrial Construction, Redwater, AB
  • Developed an insulation release and reporting database using Access and Excel to provide greater visibility on productivity and progress ultimately leading to more efficiently planned work and an improved schedule resulting in estimated project savings exceeding $100,000

• April 2016 - August 2016, Production Technician, Suncor Energy, Edmonton, AB
  • Performed audiovisual runtime inspections of industrial refining equipment, assisted in maintenance activities, and acquired and tested high temperature gas oil and distillate samples

Skills

• Fluid Dynamics
  • Theoretical & Computational
• Deep learning
  • Supervised methods
    • Super-resolution
  • Unsupervised methods
    • Generative adversarial nets
    • Self organized maps
  • Tensorflow/Keras
• Python (advanced)
• SQL (intermediate)

Teaching

SYDE 261 - Design, Systems, and Society

SYDE 383 - Fluid Mechanics

SYDE 113 - Matrices and Linear Systems

Volunteering/Clubs

• Engineering Program Mock Interviewer
  • Interviewed freshman engineering students and provided advice to prepare them for their first professional interviews.
• Distributed Dynamic Propulsion Undergraduate Research Aerodynamics and Control Team
  • Developed Python scripts to calculate the effect of distributed dynamic propulsion on the aerodynamic forces experienced by model aircraft.