2022 - 2024
Applied Informatics
Master's Degree
Slovak University of Technology ‐ Faculty of Electrical Engineering and Information Technology
Master's thesis: Detection of Glaucoma using Deep Neural Networks
constcoder={name:'Dominika Bemberakova',skills:['React', 'NextJS', 'Typescript', 'Python', 'Tensorflow', 'MySql', 'Docker', 'Canva'],hardWorker:true,quickLearner:true,problemSolver:true,hireable:function() {return(this.hardWorker&&this.problemSolver&&this.skills.length>=5);};};ABOUT ME
Who Am I?
👋 My name is Dominika Bemberakova. I am a dedicated and enthusiastic front-end developer seeking opportunities to grow and excel in a dynamic environment. My goal is to leverage my skills and creativity to build user-friendly, responsive, and visually appealing web applications. With a strong foundation in modern front-end technologies and a commitment to continuous learning, I am excited to contribute to innovative projects and collaborate with talented teams. Let's create something amazing together! I'm currently working with the latest front-end frameworks such as React, Next, and Vue. Thank you 💜
Educations
July 2022 - Aug 2022
2022 Worldwide Universities Network Virtual Summer School, Act for Sustainability
National Cheng Kung University, Tainan, Taiwan
2019 - 2022
Applied Informatics
Bachelor's Degree
Slovak University of Technology ‐ Faculty of Electrical Engineering and Information Technology
Bachelor thesis: Social network for sharing food recipes
Aug 2022 - Sept 2022
Innovative Summer School, Semiconductor Manufacturing Technology
National Cheng Kung University, Tainan, Taiwan
2014 - 2018
Medical Laboratory Technician
Secondary School Certificate
Secondary Medical School
Specialized secondary activity: Chronic Myeloid Leukemia
Experiences
Sept 2022 - Jun 2024
PR Student coordinator
Faculty of Electrical Engineering and Information Technology, STU Bratislava
Jun 2022 - Sept 2022
Internship
Junior Developer
Informatika 2.0
May 2020 - Sept 2022
IT Support
IBM
Skills
Projects
Book Management System
constproject={name:'Book Management System',tools: ['PHP', 'CSS', 'MariaDB],myRole:Frontend Developer,Description: Our goal was to create a web-based electronic library system for book lending and management. Users can register, authenticate, recover passwords, browse books, view borrowed books, and get recommendations. Admins can manage book inventory, user registrations, and borrowing requests. I developed the frontend using PHP and CSS, ensuring an intuitive interface. The frontend interacts with the backend, built with Express and MongoDB, deployed on AWS for scalability. User notifications are sent via Node Mailer with AWS SES.,};Detection of Glaucoma using Deep Neural Networks
constproject={name:'Detection of Glaucoma using Deep Neural Networks',tools: ['Python', 'VGG-16', 'MobileNet', 'ResNet50', 'U-Net', 'CNN],myRole:Machine Learning Engineer,Description: Glaucoma, also known as glaucoma, is a chronic disease that affects the optic nerve and can lead to irreversible vision loss, including total blindness. This work focuses on the use of advanced machine learning methods to detect glaucoma. The main objective is to explore applications and improvements in the diagnosis of this disease through deep neural networks. By combining three different fundus image databases and segmenting them using the U-Net, we have segmented the optic nerve and its excavation region, thus allowing us to identify areas that are characteristic of glaucoma. We then classified these predicted segmented images using neural network models such as ResNet, VGG-16 and MobileNet. We compared the results with the classification of the original data and the data with the original labeled segmentation masks. We obtained the best results with MobileNet with an accuracy of 76% using segmented predicted data in combination with classification.,};Social network for sharing food recipes
constproject={name:'Social network for sharing food recipes',tools: ['React', 'Tailwind', 'CSS', 'Next.js', 'Firebase', 'Google Cloud', 'Vercel],myRole:Full Stack Developer,Description: In it's introduction, the bachelor thesis analyses the trends in the field of social networks and web applications. It focuses on the design of a social network intended for sharing kitchen recipes. The user of this social network can personalize recipes at home. In the first chapter, we introduce and describe the basic concepts related to social networking and web applications. Later, the thesis discusses the specification and development of the social network to make it as convenient as possible for the user. The last part of the thesis describes the actual implementation of the system. It contains the design of the database, the use cases of the social network and also a description of the results we achieved.,};Contact
dominika.bemberakova@gmail.com
Phone
+421 904 040 201
Address
Rustaveliho 8, Bratislava, 831 06