Atlanta, GA—Aug 2025 to Apr 2027

• M.S. Computer Science - On Campus
• Grade:

Mississauga, ON—Sep 2020 to Apr 2024

• B.Sc. Honours Computer Science
• Grade: 3.94/4

Toronto, ON—Jul 2024 to Jul 2025

• Developed an automation framework using Playwright for end-to-end testing of Freedom Mobile’s wireless consumer applications, reducing QA regression execution time per release by 80 hours and earning a raise within 8 months.
• Trained a team of ten software testers in Jenkins for automated data creation, creating scripts that automated over 100 account creations in under 30 minutes, saving the team over 40 hours of effort.
• Collaborated with the director of DevOps to develop cloud CI/CD pipelines using Bitbucket pipelines and docker containers that trigger Playwright tests every time code is deployed to staging, saving approximately 10 hours per sprint.

Toronto, ON—Aug 2024 to Jul 2025

• Constructed optimized data pipelines in PyTorch that expedited feature extraction from terabyte-scale protein data by 32%, accelerating downstream analysis for a research team of medicinal chemists.

Toronto, ON—Jan 2024 to Jul 2024

• Automated the extraction of information from personal and corporate tax returns using AWS Lambda and Textract, decreasing manual loan review time by 8% and accelerating the overall loan approval workflow.
• Released custom web scraping tools to extract FAQ data from eight company websites and store the data in a vector database for fine tuning AI chatbot applications.

Mississauga, ON—Sep 2023 to present

• Facilitated interactive tutorials for upper-year CS courses (ML, Databases, OS), leveraging deep ML and systems knowledge.
• Developed an automated test suite for marking assignments, resulting in an 8-hour reduction in grading time per TA.
• Promptly answered student questions on course discussion boards, making 300+ contributions.

Toronto, ON—Nov 2023

• Developed a web application for thousands of users to simultaneously paint pixels of a large canvas, broadcasting updates to all users in real-time using a WebSockets API
• Leveraged AWS serverless services such as Lambda and API Gateway to scale the system to 150k+ users, achieving canvas update latency of less than one second for 95% of users.
• Automated provisioning of networking, storage, and compute resources using a CloudFormation template, reducing time to launch the system by 60%

📽️ View a demo of this project here!

Toronto, ON—Sep 2023

• Collaborated with a team of three researchers to develop an automatic tool for brain tumor classification using a custom CNN architecture.
• Engineered a custom data processing pipeline in Tensorflow for processing 2D slices of MRI scans in batches.
• Explored approaches for visualizing the model’s decision-making processes using state-of-the-art techniques such as GradCAM.