Sara Raris

As the Computer Vision Lead Engineer at Buddywise, I led the development of AI solutions for workplace safety monitoring, focusing on object detection and action recognition. I built the Computer Vision capabilities from the ground up, designed cloud-based data pipelines, and integrated MLOps tools to automate model lifecycles. I also grew a team of engineers while remaining hands-on in model deve

At MotorAI, I developed a traffic light detection and classification module using Convolutional Neural Networks. My work involved image processing techniques to enhance the accuracy and reliability of traffic monitoring systems.

During my internship at Solarvibes, I designed and deployed a deep learning-based crop disease prediction system, achieving 92% accuracy. I also developed an Android app for image collection and annotation to support model training.

In my internship at Anestalia, I collaborated on a clinical study investigating the relationship between glottis area and intubation forces. I developed image segmentation software in Matlab to support medical data analysis.

As an assistant researcher at VPULab, I developed algorithms for people density estimation and path computation in multicamera environments using C++ and OpenCV, contributing to advancements in video processing techniques.