Mateja Iveta
About Mateja Iveta
Mateja Iveta contributed to the development of an optimized machine learning pipeline for Superbet's profanity detection model.
Machine Learning Pipeline Development
Mateja Iveta participated in building an optimized machine learning (ML) pipeline for Superbet's profanity detection model. In this role, Iveta focused on optimizing the data processing workflow to enhance the model's efficiency and accuracy in detecting inappropriate language. The implementation likely involved tasks such as data collection, preprocessing, feature extraction, model training, and evaluation. This experience highlights Iveta's hands-on involvement in advanced ML tasks within the context of a real-world application.
Superbet Profanity Detection Model
Mateja Iveta contributed to the development of Superbet's profanity detection model. This project aimed to identify and filter inappropriate language across the company's platforms. Iveta's role was pivotal in creating and optimizing the necessary ML pipeline, ensuring that the detection system operated smoothly and effectively. This involvement showcases Iveta's capability in applying technical skills to practical, critical applications in a high-demand industry.