macOS Tahoe Background
Amir Limame Avatar

Amir Limame

Computer Science Student | Software Engineer & IT Support

Download Resume View Projects

About Me

I am a Computer Science student at Saint Leo University (Class of May 2027), maintaining a 3.6 GPA. I have hands-on experience as a freelance IT Support Technician.

My expertise spans across Windows Systems Administration, Network Troubleshooting, and Software Engineering. I enjoy solving complex technical issues, deploying robust systems, and building highly optimized software.

Software & Dev

Python Java C/C++ SQL Swift Shell Git/GitHub

IT & SysAdmin

Windows 10/11 Basic Linux BIOS/UEFI Hardware Diag OS Deployment TCP/IP

Certifications

CompTIA A+ (In Progress)

Professional Experience

Freelance IT Support Technician

2023 – Present | Remote
  • Provided remote troubleshooting for Windows PCs, resolving boot failures, driver conflicts, and system instability.
  • Performed BIOS/UEFI configuration and addressed hardware compatibility issues.
  • Created/repaired Windows installation media and completed clean OS installations.
  • Optimized performance via startup/service tuning and comprehensive driver updates.
  • Assisted with SSD migrations, RAM upgrades, and necessary post-upgrade configurations.
  • Delivered on-call support and actionable user guidance on maintenance and updates.

Featured Projects

Vidcord

Python PyQt6 FFmpeg Hardware Accel

A high-performance, cross-platform GUI application architected in Python to automate complex FFmpeg operations for video transcoding and compression.

  • Engineered multi-vendor hardware acceleration (NVENC, AMF, QSV) to reduce CPU overhead.
  • Developed a modern, responsive Fluent Design interface with instant-start user experience.
  • Automated the full distribution pipeline using GitHub Actions for Windows, macOS, and Linux.

Gemini-Watch

SwiftUI watchOS Google Gemini API

A native watchOS application providing a seamless AI chatbot experience on Apple Watch utilizing the Google Generative AI SDK.

  • Optimized API request handling with Swift Concurrency to maintain UI responsiveness on wearables.
  • Designed a lightweight, "glanceable" interface focused on efficient text input and readable AI output.
  • Implemented a secure storage system for API credentials management.