Projects listed above:
Northrup Grumman Capstone (ng-tracking-personal): A group project guided by Northrup Grumman with the purpose of detection and interception of hostile vehicles in a Unity simulation environment. Personally developed a multi-agent SARSA(λ) reinforcement learning system for intercepting the vehicle, a kinematics based detection and prediction algorithm, training of a YOLOv8 model via synthetic Unity information in application with opencv, while collaborating and presenting the final deliverable to industry engineers.
Yamaguchi Wellness: A mobile application available on the iOS store under the name Yamaguchi. Commissioned by Yamaguchi Salon to build a mobile app which contains specialized information to their brand, along with a shopify store front.
DFS client and server: A distributed file service in which a user can get, post, or list files on the server. Files are chunked and split to other servers in order to increase redundancy and reliability (both written in C).
Trading Algo (in progress): An in progress project in which a C++ server executes requests from a python decision making client.
Solar wind PDF: project report of Monte Carlo simulations on high and low energy particles and how they interact with the Earth's magnetic field. Created using matlab differential equation solver to model the positions of the particles.
MancalaAI ipynb: Python notebook showcasing a minimax algorithm with alpha-beta pruning applied to Mancala. Explores the accuracy and runtime vs the depth in which the AI plays.
Tennis Reservation App: Designed and created the database that allows users to reserve courts or join other reservations. Including to this, I designed routes that update, insert, and display info, and allow the user to create a search radius based on their zip code.
Arcane: Submodule to the OOP orientated dungeon game, Arcane. Arcane is implemented using design patterns such as observers, factories, builders, and more. I also utilized certain libraries to display a simple maze and audible tts. The project is run in intellij and focuses on TDD showing the full coverage in the readme.