About
With a background in full-stack and AI development, I design and refine systems that combine solid engineering principles with adaptive learning models. My work includes improving AI code generation quality, crafting structured prompt pipelines, and developing tools that make complex technologies intuitive and accessible to users.
Work Experience
Education
Brock University
Skills
I've worked on a variety of projects, from simple algorithms to complex web applications. Here are a few of my favorites.
Led and mentored a team of students through an end-to-end AI safety project, setting direction, milestones, and coordination to deliver a research-grade prompt robustness evaluation system.
Defined project scope and success criteria, facilitated weekly reviews, and unblocked technical challenges while aligning team progress with program stakeholders.
Brock Interactive Training Engineering System (BITES) is a comprehensive software engineering training platform designed to enhance user engagement and streamline learning.
Developed using Svelte, TypeScript, Git, and Firebase, the application focuses on delivering an interactive and intuitive training experience.
The project leverages Python to implement a genetic algorithm for cryptanalysis, enhancing decryption efficiency by 20%.
It explores key concepts like fitness evaluation, mutation, and crossover methods, showcasing the potential of evolutionary algorithms in solving complex problems.
An interactive platform developed using HTML, CSS, and JavaScript, allowing users to build custom computers seamlessly.
Designed with responsive design principles, it provides a user-friendly interface and intuitive functionality, combining technical precision with visual appeal.
Features real-time validation to ensure compatibility and optimize user customization.
Developed a AI benchmarking platform evaluating multiple AI agents across games and capability tests, implementing performance tracking, and human-centered evaluation frameworks.
Built a scalable Flask web application with neural networks, API integration, and automated performance analytics for AI models.
- A Python-based file transfer application utilizing sockets for seamless client-to-server transfers, with integrated OpenTelemetry and Prometheus for distributed tracing and performance monitoring.
Get in Touch
Shoot me a message via Linkedin, and I'll respond as soon as possible.