• Using office software such as Excel, Word, PowerPoint, and Adobe Acrobat to keep track of, update, and create manuals for electrical devices and maintenance procedures• Maintaining and upgrading hardware devices and software tools by using diagnostic tools such as the multimeter, cable tester, antivirus software, and OS diagnostic software to identify problems and brainstorm remedies that could be taken• Using the Python programming language to solve problems such as updating and adding software functionalities to an aircraft hardware component, automatically updating aircraft bearing data in an Excel file from changes in magnetic fluctuations, and automatically controlling the brightness of multiple monitors in tandem depending upon the time of day setting of the aircraft simulation software• Purchasing compatible computer components such as the CPU, RAM, GPU, motherboard, power supply, and so on and installing either Rocky Linux or Windows 11 for the OS and other basic software such as Microsoft Office, Adobe Acrobat, antivirus software, and so on to set up 4 new systems that would replace 4 outdated ones for all 8 trainer aircraft simulation platforms

• Designing electrical circuits from circuit components such as resistors, capacitors, inductors, operational amplifiers, and so on that would control the startup and shutdown of the camera device that is installed in lecture halls as well as its other functionalities• Designing signal/image processing algorithms such as the median filter, wiener filter, anisotropic filter, Gaussian filter, and so on that would filter out noise from recorded lecture audio and video files by 20% more than the old algorithm• Designing ML/CV algorithms such as Poisson blending, Laplacian pyramid blending, CNN, and so on to improve the neural network that was previously used to segment out professors from frames of lecture videos by 5% and to seamlessly blend these segmentations on top of new background frames to create more engaging post-processed lecture videos