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Canada
2+ years of experience
Some people binge-watch shows. I binge-learn. Whether it's building an AI-powered fact-checking system for TikTok misinformation or designing deep learning models for medical imaging, I’m always working on something that makes me ask, "Can I build this?" And then I do. I'm a Computer Science student at Toronto Metropolitan University with a 4.11 GPA. Thanks to transfer credits, I’ve had extra time to explore what really excites me. I’ve taken machine learning courses from Stanford, built full-stack apps just to scratch an itch, and experimented with everything from AI agents to backend authentication systems. One of my favorite builds is VeriFYP, a multi-agent AI fact-checking system that automatically investigates viral TikToks. It uses Google Gemini and autonomous research agents to gather evidence, a red-team loop to critique answers, and a real-time React dashboard to track progress. For me, these projects aren’t just technical challenges. They’re playgrounds for ideas. My interests span software engineering, AI and machine learning, full-stack development, and cybersecurity. I’m not rushing to pick one path. I’m here to explore, build cool things, and grow into an engineer who learns fast and thinks deeply.