Developed an operating model to streamline project management with task allocation, timeline projection, and cost analysis, boosting clients' project efficiency by an average of 30%.
Launched a core feature for real-time visualization of planned headcount changes, aiding better resource allocation.
Led development of an S&P 500 benchmarking tool, delivering critical industry-specific OpEx insights to executives.
Critical Mass
Front End Development Intern
May 2022 – Aug 2022
Led the content and design update for the 2023 Nissan Maxima, contributing to a projected sales increase of approximately 62%.
Developed an iOS automation tool for fleet drivers, automating vehicle status and driving statistic reporting, leading to a 70% increase in efficiency.
Developed and integrated key features for the ARIYA EV's support chatbot, enhancing user experience and interaction.
Zonado
Software Development Intern
Mar 2022 – May 2022
Redesigned and optimized user flow of high-traffic web pages, significantly enhancing the user experience.
Led the identification of SaaS requirements and independently executed a framework migration, increasing operational flexibility.
Established a robust payment platform with incentives, resulting in a 2x increase in sales.
Education
University of Toronto
Honours Bachelors of Science, Computer Science
2018 – 2023
Relavent Coursework
Software Engineering
Operating Systems
Algorithms
Full Stack Development
Systems Design
Leadership and Clubs
Hack The Valley
Association of Mathematics and Computer Science Students
Computer Science Enrichment Club
UofT Blueprint
Projects
Menstruation Nation
Oct 2022 – Apr 2023
Implemented secure backend and database for user data, including entities, models, DAOs, and modules.
Created a cycle page displaying user-specific cycle details and average period statistics.
Graf-Gas
Oct 2021 – Present
Automated a gas station’s data entry, transitioning from Excel to a SaaS application, accelerating operations by 300%.
Established an in-house DevOps and CI/CD pipeline, halving deployment time for AWS-hosted micro-services.