WORK EXPERIENCE

Toronto, ON

• Incoming Software Engineer Intern for Winter 2026

Seattle, WA

• Revamped the permissions system for an internal tool, reducing permission modification time from 19 minutes to 30 seconds by making the entire system configurable. Implemented using C++ and React with TypeScript
• Migrated the existing privacy policy rules for an internal tool to a Meta-wide framework, making the system fully modular, which previously relied on hard-coded rules
• Spearheaded the development of a permissions checker UI from design to implementation, reducing permission debugging time by 30 minutes. Implemented the design using React with Relay GraphQL data fetching
• Delivered quality-of-life improvements for users and admins by adding contextual hovercards to guide user actions and implementing deep-linking for admin settings, enabling direct navigation to relevant configuration tabs

Waterloo, ON

• Saved users 20+ minutes per banking session by integrating the Plaid API into an open banking application and delivering real-time multi-account aggregation. Built using Firebase with TypeScript
• Spearheaded the development of an automated technical interview tool using NextJS and Firebase, completely automating the manual interview process within the team, saving $100 per interview
• Designed and implemented the software architecture from the ground up for a new application, that provides users with personalization, guidance and actions. Implemented using the OpenAI API with PyMongo and LangChain

Toronto, ON

• Developed the “Roll Up Options” feature for the Questrade web application that enables users to extend the expirations of their existing options. Implemented business logic in TypeScript for a new order-entry library
• Boosted testing efficiency by 50 seconds by creating automated performance tests in JMeter using Java
• Improved the accuracy of order entry creation and saved user income by fixing a critical bug for the new micro front-end in Angular which used to create an order for an incorrect number of shares
• Detected 15+ major bugs through UAT testing for new microservice endpoints using Postman

Toronto, ON

• Accelerated the report generation of product reviews by 85% for Walmart Canada, using Scikit-Learn Logistic Regression and SVM. Achieved an accuracy of 98% between expected and actual output
• Enhanced the TCS resume screening accuracy by 25% using PyPDF2 and the OpenAI API
• Authored comprehensive code documentation for system-integration tests, detailing test cases, architecture, and automation workflows to ensure maintainability and ease of future enhancements
• Analyzed and suggested improvements for the responses of an AI Chatbot for the TCS employee portal