Melquisedec Vidallo

I’m a Computer Engineering graduate specializing in artificial intelligence (AI), computer vision, machine learning, and embedded systems. I enjoy turning algorithms into practical solutions through hands-on model training and real-world hardware integration.

In my Thesis Project, I designed and developed a YOLOv8-based drowning detection system for swimming pools. I integrated an ESP32-based wearable alert using Bluetooth Low Energy (BLE) to notify lifeguards in real time, and I validated performance using precision, recall, and latency analysis.

I’ve also built and troubleshooted technology directly as a Freelance Computer Technician, delivering over 30 successful hardware and software services including PC builds, repairs, and upgrades. Alongside that, I provide commission-based 3D printing work—handling CAD modeling, slicing, printer maintenance, and material preparation to produce functional parts for clients.

My experience extends to IT support, where I helped with network infrastructure maintenance and IT troubleshooting during my internship. I bring that same problem-solving mindset into my Android development and lab-style projects, always aiming for reliable outcomes and smooth user-ready performance.