Second Year Computer Science student at SFU with hands-on experience in Python, ML pipelines, and full-stack development.
Actively searching for Internships
AI-powered resume analysis web app using TF-IDF vectorization and cosine similarity to match resumes against job descriptions, featuring a Streamlit UI with session-based navigation, file validation, and a dashboard for tracking match scores and improvement trends.
Collaborated with 3 teammates to build a breast cancer tumor classifier in Python, comparing Logistic Regression, KNN, and Decision Tree models with full data cleaning, feature scaling, and model evaluation using precision, recall, and F1 metrics.
Collaborated with 4 teammates to build a full-stack wellness tracker with backend REST APIs, mood pattern insights, weather API integration for personalized recommendations, and a NiceGUI frontend, containerized with Docker.
Instruct skaters of all skill levels in technique and development while collaborating with fellow instructors to coordinate safety and manage the ice, maintaining clear communication with students, parents, and supervisors in a fast-paced environment.
Developed transaction filtering functionality and improved AI categorization accuracy for a bookkeeping platform by auditing and cleaning a Supabase database, while maintaining production code quality through debug log removal using Python and JavaScript.
Completed Kaggle's Intro to SQL certification, building a strong foundation in relational database querying using Google BigQuery. Gained hands-on experience writing SELECT statements, filtering and sorting data, aggregating results with GROUP BY, and combining datasets through JOINs - developing practical skills in navigating large datasets and extracting meaningful insights through structured queries.