Mohib Amin

Featured Senior Design

Smart Parking Pathfinder

Embedded Systems • Web • Real-Time Data

Arduino sensors classify spots as empty / occupied
WS2812 LEDs show availability in real time
Serial → Flask → Socket.IO live streaming
Interactive browser-based parking map

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Capstone Project

AI-Powered NPC Behavior Modeling in Unity

Unity • C# • ML-Agents • Reinforcement Learning

Designed a Unity-based 3D game environment with adaptive NPCs trained using reinforcement learning, replacing traditional scripted behaviors with dynamic, context-aware decision making during gameplay.
Implemented AI agents using Unity ML-Agents with custom observation and action spaces, enabling intelligent navigation, combat engagement, survival tactics, and responsive player interaction.
Evaluated AI-driven NPC performance against scripted logic through structured gameplay testing and controlled simulations to assess realism, adaptability, learning efficiency, and in-game responsiveness.
Refined agent behavior through iterative training cycles by tuning reward functions and policies, improving stability, convergence speed, and reducing erratic or non-optimal decision patterns.

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About Me

I’m a fourth-year Computer Engineering student at Toronto Metropolitan University, with a strong interest in building systems that sit at the intersection of hardware and software.

My technical focus areas include embedded systems, real-time applications, and full-stack development. I enjoy designing solutions that are clean, intentional, and built to last, whether that’s through microcontroller-based projects or modern web platforms.

Outside of engineering, I spend a lot of my time playing and streaming video games, staying active through basketball and fitness, and exploring new ideas through personal projects. I’m always looking to learn, improve, and take on challenges that push me beyond my comfort zone.