
Projects
ArchSquad
ArchSquad" is an academic endeavor, presenting a multiplayer archery compact game developed in Unity, exemplifying collaborative learning and practical game development skills. It underscores the fusion of academic exploration and hands-on implementation in creating engaging gaming experiences.
AutoML Hyperparameter Tuner
AutoML Hyperparameter Tuner is a modular and interactive Streamlit application that automates hyperparameter tuning using Optuna. Built with extensibility in mind, it supports multiple ML models like XGBoost, SVM, and Random Forest, with auto-detection for classification or regression tasks. The project showcases my expertise in Python, machine learning pipelines, and UI-driven development, integrating real-time optimization, model export, and collaborative-friendly deployment.
PacMan using DCQN
"AI-Powered Pac-Man" is an innovative project that utilizes Python and PyTorch to deploy deep reinforcement learning algorithms, enabling an AI agent to autonomously play and excel at the classic Pac-Man game. This project integrates advanced neural network architectures and dynamic learning policies to enhance the agent's gameplay, achieving strategic decision-making and real-time problem-solving capabilities in complex gaming environments.
The Crown
The Crown is a project developed entirely in Unreal Engine using both Blueprints and C++ as part of my dissertation. This project showcases my ability to integrate advanced gameplay mechanics and efficient code to create an immersive gaming experience. Through The Crown, I demonstrated proficiency in Unreal Engine's tools and features while combining visual scripting and traditional programming to bring the project to life.













