5TH YEAR SOFTWARE ENGINEERING AND MANAGEMENT STUDENT AT MCMASTER UNIVERSITY
16 MONTHS OF CERTIFIED COOP EXPERIENCE IN FULL STACK AND AUTOMATION
Hello there! I am currently open to exploring options for new graduate employment starting June 2024
➤ Developed and released an iOS mental health and self-improvement productivity mobile application "HabitPal: Build, Track, Thrive" that helps users build, track, and maintain good habits and break bad ones using scientifically proven methods
➤ Developed in Swift, incorporating UserDefaults for efficient storage, manipulation, and real-time updates of user data
➤ Analyzed data from thousands of data points through advanced CSV parsing to develop an automated testing framework for integration and regression testing using C#, saving over 200+ hours of manual labor annually
➤ Developed a user-friendly Selenium-based testing system using C# and NUnit for efficient integration testing before each deployment
➤ Designed an intuitive Angular frontend and testing framework to empower testers in creating their own Selenium-powered automation suites
➤ Demonstrated excellent problem-solving and creativity to ensure that all campers had an engaging active experience
➤ Exhibited strong verbal communication skills to prevent poor camper behavior along with managing conflicts and concerns raised by parents in an ethical and professional manner
• Led projects using NLP techniques, including BERTopic modeling and GloVe embeddings, to detect early signs of mental health disorders
• Engineered feature vectors by leveraging TF-IDF and cosine similarity metrics, managing data from over 500k+ data points in an end-to-end machine learning pipeline to facilitate predictive scaling and conducted in-depth data evaluation
• Conducted thorough error analysis by comparing predicted scores to ground-truth data to improve the models
• Developed a web-based application enabling users to access statistics on their listening history
• Established a responsive and interactive application interface using React, paired with JavaScript and Node.js, hosted through Vercel
• Utilized the Spotify Web API to fetch user and song data, including the users' listening history, top played artists, and songs, etc.
• Implemented Spotify account login and credential verification using Node.js with Express.js, incorporating OAuth2 authorization