’m an Honours Mathematics & Computer Science undergraduate with a Statistics minor and a concentration in Number Theory, driven by a deep passion for problem‑solving, algorithms, and building intelligent systems. Over the past five years, I’ve developed fluency in Python, Java, TypeScript, and JavaScript, applying them across software engineering, machine learning, computer vision, and full‑stack development projects. My journey blends theory with hands‑on engineering. I’ve built autonomous robots, trained YOLOv5 models for face and QR detection, integrated MediaPipe for real‑time tracking, and combined hardware with software through Arduino‑powered systems. I love taking on ambitious technical challenges. Whether it’s designing wall‑following logic, implementing authentication systems, or experimenting with AI‑driven vision pipelines. I’m equally committed to continuous learning. My academic path reflects a strong foundation in pure math, statistics, and algorithmic thinking, while my project work shows my ability to turn ideas into real, functional systems. I’ve also earned recognition such as Ontario Scholar, Honour Roll distinctions, and top marks in Computer Engineering Technology. Right now, I’m focused on expanding my expertise in machine learning, cryptography, and software engineering, and I’m always excited to collaborate on innovative projects that push the boundaries of what technology can do.…’m an Honours Mathematics & Computer Science undergraduate with a Statistics minor and a concentration in Number Theory, driven by a deep passion for problem‑solving, algorithms, and building intelligent systems. Over the past five years, I’ve developed fluency in Python, Java, TypeScript, and JavaScript, applying them across software engineering, machine learning, computer vision, and full‑stack development projects. My journey blends theory with hands‑on engineering. I’ve built autonomous robots, trained YOLOv5 models for face and QR detection, integrated MediaPipe for real‑time tracking, and combined hardware with software through Arduino‑powered systems. I love taking on ambitious technical challenges. Whether it’s designing wall‑following logic, implementing authentication systems, or experimenting with AI‑driven vision pipelines. I’m equally committed to continuous learning. My academic path reflects a strong foundation in pure math, statistics, and algorithmic thinking, while my project work shows my ability to turn ideas into real, functional systems. I’ve also earned recognition such as Ontario Scholar, Honour Roll distinctions, and top marks in Computer Engineering Technology. Right now, I’m focused on expanding my expertise in machine learning, cryptography, and software engineering, and I’m always excited to collaborate on innovative projects that push the boundaries of what technology can do.WWWW…