Quan Hoang

I am a motivated and passionate Computer Science graduate from the University of Manitoba with a strong academic foundation in algorithms and data structures. I'm eager to apply theoretical knowledge to real-world challenges and contribute to innovative projects. Skilled in programming languages such as Python, Java, and JavaScript, with hands-on experience from academic projects and personal projects. I'm known for strong logical thinking, problem-solving abilities, and strong teamwork skills. Seeking an entry-level opportunity to grow professionally, contribute to meaningful work, and gain practical experience in a dynamic and collaborative environment.

Light Up Puzzle – Python, Git, Git Hub

• Applying back tracking algorithm and forward checking algorithm to solve the Light Up (Akari) puzzle.
• Successfully solve puzzle up to 20x20 size, using different heuristics.

Echo State Network – Jupiter Notebook, Python

• Implementing a basic Echo State Network from scratch without output feedback and leaky-integrator neurons.
• Perform experiment by performing k-step ahead forecasting on 2sine and Lorentz time series dataset.
• Successfully predict k-step ahead value with high precision and accuracy.

Reinforcement Learning – Python

• Implementing a path-seeking robot in a m x n gird using Reinforcement Learning.
• Successfully find the best policy to move around in an m x n grid with highest reward.