I’m a third-year Computer Science student at Ontario Tech University with a strong
interest in artificial intelligence, software development, and open-source
technologies. Over the past year, I’ve gained hands-on experience in AI research
through a summer internship, where I contributed to forensic image analysis using
convolutional neural networks.
I enjoy solving complex problems and building tools that make a real impact—whether
it’s streamlining workflows with GitHub bots during my internship at Red Hat or
organizing HackApro, a youth hackathon that inspires the next generation of coders.
With a foundation in Python, Java, and C++, as well as Linux system administration
and Git version control, I bring both technical versatility and a collaborative
mindset to projects. Being fluent in English, French, and German also allows me to
work across diverse teams and communities.
Looking ahead, I’m eager to continue developing innovative, ethical, and scalable
tech solutions through co-op opportunities, research, and contributions to
open-source software.
A responsive lodging website built with HTML, CSS, and JavaScript on Replit.
Implemented custom styling, mobile-first layout, accessible markup, and basic SEO.
Deployed with a custom domain (whitbystay.ca) and streamlined contact/booking flow.
A machine learning project that applies computer vision techniques to classify and analyze bloodstain patterns for forensic purposes. The system focused on stain classification, angle estimation, and preprocessing workflows to support accurate crime scene reconstruction. Developed as part of research on forensic AI, with emphasis on data quality, evaluation metrics, and practical applications for investigative work.
A GitHub automation bot developed for the Quarkus ecosystem to streamline issue and pull request management. The project focused on integrating with GitHub’s API, automating repetitive workflows, and improving contributor productivity. Built with Java and Quarkus, with emphasis on open-source collaboration, scalability, and maintainable code practices.
A full-stack web application built with Django that provides secure authentication, role-based access, and an admin dashboard. The project focused on user management, backend integration, and clean UI workflows. Developed collaboratively using Agile practices such as retrospectives and sprint planning, with emphasis on scalability and maintainability.
Developed a data analysis project comparing pacing between the One Piece manga and anime using Python (NumPy, pandas, Matplotlib, Seaborn). Cleaned and structured arc data, calculated chapter-to-episode ratios, and produced visualizations that revealed clear trends in pacing shifts, demonstrating proficiency in exploratory data analysis and data storytelling.
Jul 2025 – Aug 2025 • Oshawa, ON
July 2021
2024 – Present
Issued by Coursera • Completed: January 2025