My previous employment/internship experience and projects

-Designed and implemented a video security system that is resistant to ‘replay’ attacks in live video streams and integrates multiple cameras and Raspberry Pi

-Use machine learning to develop robust facial recognition system which could recognize specific individuals passing in the frame with 80% accuracy

Implemented motion detection to reduce computational load on the Raspberry Pis

-Use machine learning to develop robust facial recognition system

- Worked with Professor Yu Chen at Binghamton University

-Made a multiplayer gaame for class on Unity to demonstrate cloud computing

-The game inolve players being able to place objects down on their own screen in order to be collected by other players<p> <p class="project-detail">-I decided to expand the project into a full game that could be played over the internet

-Developed and maintained a SQL database that mapped students’ majors to their corresponding courses

-Implemented web pages on the Binghamton University website using integrated custom APIs written in C and C++ to fetch and display data from the SQL database

-Converted the Bash scripts into Python using Visual Studio to modernize and future-proof database refresh processes, increasing efficiency

-Created Java GUI to add feature identification in SEM (scanning electron microscope) images

-Automated pattern generation by writing scripts that iterated through image data, utilized Blender’s Python API to create custom panels, and optimized visualization through efficient looping techniques

-Integrated features into SimuSEM software package and used GitHub for collaboration and version control

-Programmed user interface in Unity for video game adaptation of Persian Incursion board game

-Created menus using Unity and C# for the game to save selections between scenes, including target weapon, plane, and unmanned aerial vehicle selections

-Transferred a board game algorithm to Unity by implementing a series of optimized switch statements to match planes with bombs and assign bombs to appropriate targets

-Version controlled using GitHub in order to easily access older versions and enable easier collaboration

-Uses a Raspberry Pi as a security system

-When the door opens the Pi will put the exact time on the AWS blockchain