Computer Science student at Queen's University building full-stack applications, machine learning models, and interactive experiences. Passionate about solving real-world problems through code.
Currently, I'm involved in Queen's Computing Student Assocation (COMPSA), Queen's Themed Entertainment Development Team (QTEDT), and Smith Business and Technology (SBT) where I engage in software development, leadership, and learning new technologies. I've always been fascinated by technology which led me to pursue a career in computer science.
When I'm not coding, you'll find me at the pier playing spikeball, playing intramural Soccer, Football, or Ultimate Frisbee, and spending time with my friends.
Tracker Networks
Engineered full-stack features for VenTrack, a third-party risk management platform. Built auto-generation tools for company risk profiles and implemented real-time news feed API. Structured data for AI customer service agent, achieving 30% higher ticket resolution score.
Queen's COMPSA
Lead a team of 8 developers building full-stack applications for 1,800+ students. Architected and engineered a room booking system using Next.js, React, and Supabase with AWS SES integration. Mentor developers through technical challenges and code reviews.
Queen's Web Development Club
Collaborated on a 4-person team to build a full-stack scheduling app for Queen's Web Development Club. Delivered a functional product that hybridized Calendly & LettuceMeet, streamlining the club's event planning process by a tight sprint deadline.
Queen's Themed Entertainment Development Team
Engineered Python-based ride control simulator modeling roller coaster movement, emergency stops, and maintenance protocols. Qualified for TMU Thrill Design competition invitational round by Universal Creative. Developed show control programming for in-house projects.
Smith Business and Technology
Coordinated logistics and operations for business technology conferences and case competitions. Managed event planning, participant coordination, and vendor relationships to ensure successful execution of large-scale academic and professional events.
XGBoost machine learning model predicting NFL quarterback fantasy points with 3.99 MAE. Features interactive JavaScript frontend for fantasy football analysis.
Note: Site may take a few minutes to boot up on first visit
Full-stack room booking system for Queen's Computing students. Built with Next.js, React, and Supabase with AWS SES integration for email notifications.
Full-stack scheduling app hybridizing Calendly & LettuceMeet for Queen's Web Development Club. Built by 4-person team to streamline event planning.
Contributed full-stack features to existing third-party risk management platform. Developed auto-generation tools for company risk profiles and implemented real-time news feed API for contextual monitoring.
Roller coaster control simulation built for Universal's TMU Thrill Design competition. Features start/stop controls, cart removal from track, and real-time ride operation monitoring using Python and PyQt5.
Portfolio website built with Next.js and Tailwind CSS. Features clean design, and showcases projects and experience.
Interactive Python application built with Pygame to visualize 4 different sorting algorithms in real-time with animated comparisons and swaps.
Personalized recreation of the classic video game built with Python and Pygame. Features 11 challenging levels with identical graphics and gameplay mechanics to the original.
That's all, thanks for visiting.
© 2025 Nigel Groen.