During my academic journey, I conducted multiple scientific researches based on Deep Learning technology. My Ph.D. thesis, titled “Multispectral Images Processing Methods in a Computerized System Based on Deep Learning Neural Networks,” was a great opportunity to explore advanced methods in image processing based on AI. The guidance of my supervisors, Andrii Podorozhniak & Heorhii Kuchuk, was helpful for achieving meaningful results. Their mentorship inspired me to explore new frontiers in technology and field of study that as result led to several scientific publications indexed in Scopus.
In addition to theoretical knowledge, NTU “KhPI” equipped me with practical skills that align with the demands of today’s technology landscape that helps me to stay on track with modern approaches including GenAI utilizing Large Language Models (LLMs), and the modern Python stack.
During my studies, I learned a wide range of technologies and methods including Data Engineering stack such as ETL, Design patterns, Cloud technologies. These skills help me to design scalable, efficient, and innovative systems across various domains. Looking back, I am thankful for the learning environment at NTU “KhPI” where critical thinking, collaboration, and innovation are a part of academic life. The university provided access to state-of-the-art research opportunities.
Today, as I contribute to solving complex technological challenges in the software engineering field, I often reflect on how the knowledge, mentorship, and experiences at NTU “KhPI” continue to shape my approach to problem-solving and innovation.
Vladyslav Yaloveha, Ph.D
Senior Software Engineer at EPAM