Position: Junior Python Developer
Category: Python
English level: upper
Years of experience: 0.5

Completed Deep Learning specialization by DeepLearning.AI on Coursera. Currently working on GAN specialization on Coursera. Working on solving real-world problems using neural networks with skills gained in the courses. 
For example, I am currently improving a convolutional network for detecting cancer cells on images.
NDA | Junior Python Developer (May 2023 – present) 
• Conducting the development of an AI system to process documents, encompassing 
document classification, extraction of document-specific features, entity recognition, 
and establishment of an entity database. Also constructed a comprehensive pipeline to 
streamline document processing from inception to completion. 
• Collecting relevant data and applying machine learning techniques to enhance the 
accuracy and efficiency of document processing. 
muStyleGAN  
• Investigated the architectural aspects of StyleGAN and StyleGAN 2 generative neural 
networks and engineered a smaller style-based generative network, specifically tailored 
for generating landscape pictures and conducting experiments with various image 
resizing approaches to optimize image quality. 
• Critiqued and iteratively refined the network to ensure that generated images exhibited 
comparable quality to the original cropped images. 
ZNOdodatok | Trainee Python Developer (June – October 2023) 
• Designed a robust system for parsing websites and extracting ZNO (Ukrainian 
standardized test) questions, including associated images and descriptions. 
• Assembled and maintained a database to store the extracted questions efficiently. 
• Tested and verified the accuracy of the parsing system, achieving coverage of 
approximately 90% of test questions. 
• Identified and resolved issues encountered during the parsing process.