Murphy Lee
01.
About Me
Hi there! I'm Murphy, a Software Engineer and Computer Science Specialist at UofT. I'm passionate about building software that is functional, scalable, and user-friendly. I have experience working with a variety of technologies such as Angular, Node, and Postgres, but I'm always eager to explore new tools and frameworks. I also love to dance, and in the past I've competed at national competitions and worked in multiple Netflix films. Check out my resume or get in touch if you'd like to learn more about me!
SKILLS
Angular
React
C
Python
TypeScript
Express
Hugo
Firebase
Go
GraphQL
MongoDB
NodeJS
Docker
AWS
02.
Work Experience
- theScore (Score Media and Gaming Inc)Software Developer, InternSep 2024 - Dec 2024
Soon to join the Sports Data team.
- Toyota Canada IncAWS Developer, InternJan 2024 - May 2024
As an AWS Developer Intern at Toyota Canada, I implemented VPCs and a serverless architecture using API Gateway, Lambda, and CloudFormation, which led to a 20% reduction in infrastructure costs and improved application performance. I also developed automated testing frameworks using Elastic Beanstalk, CodePipeline, and CodeDeploy, resulting in a 60% reduction in testing time and a 30% increase in test coverage. Additionally, I utilized over 15 AWS services to create interactive Cost Intelligence Dashboards, optimizing expenses and reducing Toyota’s AWS billing by over 5%.
- Morado DevelopmentFull Stack DeveloperMay 2023 - Dec 2023
As a full stack developer at Morado Development, I developed multiple MERN stack applications for various clients. I frequently learned new technologies on the fly according to specific client requirements, such as utilizing the Shopfiy Liquid framework to provide CMS-like maintanability for a catering website.
- NetflixPrincipal DancerMar 2021 - Aug 2021
Collaborated with dancers, actors, and award-winning choreographers such as Jamal Sims, Nicky Andersen, and Amanda May. Danced in 5+ scenes of the Netflix Musical "13 the Musical".
03.
Projects
Eccountant
Aug 2024
Eccountant is a single-page web application designed to help users track their spending by integrating with financial institutions using Plaid's API. The app categorizes transactions, provides real-time financial insights, and includes a subscription detection feature to manage recurring expenses. Built with Angular and Express, it leverages PostgreSQL for data storage and Docker for deployment, ensuring a robust and scalable solution for personal financial management. Developed in collaboration with Chad Rosseau and Vincent Zhang.
Angular
Express
TypeScript
PostgreSQL
Docker
Tailwind CSS
StockMS
Aug 2024
StockMS is a comprehensive stock management and analysis platform that enables users to manage portfolios, track stock performance, and predict future trends using historical data from the S&P 500. The application also supports social features, allowing users to connect with friends, share stock lists, and exchange reviews. Built with Angular and Express, and powered by PostgreSQL, StockMS leverages Docker for deployment, offering a robust tool for both individual investors and social networking around stock management. Developed in collaboration with Shreyas Rao.
Angular
Express
TypeScript
PostgreSQL
Docker
Tailwind CSS
MailMigo
Aug 2024
MailMigo is a SaaS product designed to empower users by integrating AI-driven email processing directly into their existing workflows. By sending or forwarding emails to specific MailMigo addresses, users can trigger AI-powered actions such as content generation and automated responses. The platform also includes a web application for managing documents, viewing AI-generated content, and administering user accounts within an organization. The system is built using Angular, Firebase, and TypeScript, leveraging LangChain and Pinecone for AI processing. This project was managed by Chad Rosseau and developed in collaboration with Alan Zhang, Robert Chung, and Aarya Prakesh.
Angular
Firebase
TypeScript
Tailwind CSS
Pinecone
AWS
PaperVision
Oct 2023
PaperVision is a full-stack web application designed to transcribe academic articles into interactive mind maps, enhancing reading comprehension and engagement. The project, which ranked in the top 20 out of over 400 participants at Hack the Valley 8, features a visually dynamic frontend built with Next.js, React, and WebGL. The backend is powered by a REST API implemented in Flask, with MongoDB used for storing and managing article data. Developed in collaboration with Alankrit Verma, Aarya Prakesh, and Adibvafa Fallahpour.
Next.js
React
Flask
MongoDB