Position: Computer Vision Engineer
Category: Data Engineer
English level: fluent
Years of experience: 1.5


I specialize in detecting and preventing face spoofing attacks to secure facial recognition systems. My approach involves training a Convolutional Neural Network (CNN) using PyTorch to differentiate between genuine and fake facial data. I also incorporate motion detection using Dlib and OpenCV to ensure the presented face is physically present. To optimize performance, I fine-tune the model and optimize its parameters. I deploy the model on AWS EC2 for scalability and use FastAPI for building robust APIs. My goal is to develop an effective system for countering face spoofing attacks and safeguarding facial recognition systems.