• Designed a concurrent program to retrain a Gradient Boosting Classifier, reducing the original training time from ~86 hours to ~4 hours. • Enhanced the existing text classifier which increased the model’s precision from 0.82 to 0.93. This was achieved with image pre-processing and more accurate training-set generation.• Integrated the text classifier to auto-complete ticket details (seat, row, section, etc.) previously input manually

• Developed new features for a cheque-cashing web application used by banks across the world.• Planned, estimated, and developed a ~$50,000 project for a banking customer, thus gaining experience with agile methodologies, solving customer-risen issues and developing on a strict time-frame.• Conducted technical interviews for potential co-op candidates from the University of Waterloo.