mikunia roz

Developed and designed a deep neural network (DNN) model for unsupervised learning and a deep understanding of the requirements for processing medical images. Developed a model from scratch, managing every stage from initial design to implementation. This included the DNN model and the creation of preprocessing techniques and performance evaluation protocols.

Conducted analysis of network traffic patterns, identifying anomalous behavior and reducing the load on cybersecurity teams by up to 20%. Developed and implemented machine learning models, including Random Forest, Gradient Boosting, SVM, and clustering algorithms for real-time malware detection.

Implemented Java automation and features for real-time platforms and debug tools for silicon validation. Created STPs (Software Test Plan) for debug tools based on face-to-face customer acceptance criteria, enhancing customer satisfaction.

Developed on creating user interface features, improving the overall user experience. Build responsive website for desktop devices using HTML and CSS, as well as third-party libraries such as jQuery, Angular and React.

Worked with CRM/ERP systems, deployed new hardware, and evaluated software and security risks. Configured and managed backup and restore procedures, ensuring the security and integrity of billing processes.

Pursued a Master of Science in Computer Science, deepening knowledge in advanced computing concepts and research methodologies. Focused on specialized areas within computer science, preparing for high-level technical roles.

Completed a Bachelor of Science degree, gaining foundational knowledge in both Computer Science and Biology. This interdisciplinary study provided a comprehensive understanding of computational principles and biological systems.