• Collaborated with a team of PhD professors to build an advanced Digital Twin simulation in Unreal Engine 5, simulating real-time NPC behavior and emergency response scenarios• Developed a Python-to-Unreal Engine 5 integration pipeline with an SQL database, incorporating the YOLO algorithm for real-time weapon detection and enemy tracking, delivering comprehensive insights on weapon type and enemy location within the simulation• Implemented a dynamic EGRESS algorithm using reinforcement learning in Python to compute optimal exit paths for NPCs in real time, balancing risk and reward based on shooter movement. The algorithm updated NPC behaviors at each interval, allowing for decisions to exit or hide as safety factors changed.

• Introduced students to the fundamental concept of object-oriented programming (OOP) through engaging hands-on exercises and real-world examples, resulting in a 90% increase in student understanding and retention.• Guided students through the exploration of various data structures, such as linked lists and binary trees, facilitating a 95% improvement in problem-solving skills and algorithmic thinking among students.• Designed and implemented comprehensive lesson plans tailored for both group classes and one-on-one private tutoring sessions, resulting in an 80% increase in student satisfaction ratings.

• Developed comprehensive lesson plans on Unity 2D/3D, Roblox, Unreal Engine 5, and 3D Math, covering a wide range of game development techniques, design patterns, and Unity/Unreal AI behavioral trees.• Guided students through hands-on projects, implementing complex game mechanics like locomotion systems, combat interactions, and dynamic lighting using Unity and Unreal Engine.• Fostered collaborative learning by organizing coding challenges, workshops, and peer review sessions, enhancing students' problem-solving skills and game development proficiency.• Guided students in collaborative group projects, implementing source control and agile methodologies, and facilitated the publication of their finished work.