Davide Palleschi

Computer Vision Engineer

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I am passionate about Artificial Intelligence and Computer Vision, dedicated to advancing these technologies through innovative projects. My journey in AI is driven by a commitment to pushing boundaries and developing solutions for real-world challenges.

I hold a Master’s Degree in Artificial Intelligence and Robotics, with a thesis titled “Privacy-oriented Object Detection: Detecting People and Actions in Low-Resolution Images” This project involved testing models like YOLOv8 and creating custom datasets, achieving a 400% improvement in detection accuracy for low-resolution videos.

My technical expertise includes Python, C/C++, JavaScript, and libraries such as PyTorch, OpenCV, and Numpy. I excel in detecting and addressing issues like model overfitting, ensuring robust performance in diverse scenarios.

I thrive in collaborative environments, leveraging strong communication skills to resolve challenges. Beyond professional work, I am interested in IoT and smart home technologies, creating devices and learning electronics, PCB design, and 3D modeling.

Excited about the intersection of AI and IoT, I aspire to develop smart home systems that autonomously manage domestic environments. In my free time, I stay engaged with AI advancements and home automation, aiming to contribute to transformative projects that positively impact lives.