Олександр

Oleksandr Petsa
I am passionate about artificial intelligence, machine learning, and robotics, and I am eager to apply
my knowledge to solve real-world challenges.
[open contact info](look above in the "contact info" section) [open contact info](look above in the "contact info" section) Košice, Slovakia
oleksandr-petsa-192a3232b SANYOK7531
WORK EXPERIENCE

AITS
June 2024
• Visualized data within Google Cloud Monitoring, collected metrics from a virtual machine using
Prometheus, and transferred them to Grafana for real-time dashboarding, alerting, and performance
analysis of the system.
• Finished working on a logistics task that focused on finding the shortest route between points. It
works as follows: a json file is sent to a server running on FAST API, then Google Maps API (Routes
API) is used, which shows us the distance from each point to every other point and returns a matrix
of all distances. Then we use the TSP algorithm to select the shortest path — first, the closest next
point is selected from the starting point, then the closest point from that closest point, and so on.
At the end, a route is also built from the last point to the starting point, i.e., we have a closed circle.
The project is on my GitHub
• Developed an interactive Unity-based virtual tour of Uzhgorod Castle that allows users to explore
the castle through a 3D model, panoramic 360° views, and a Street View-style navigation system.
The application includes functionality for rotating and zooming the castle model, switching
between different castle locations through a scroll-based menu, viewing separate museum exhibits,
changing the interface language, and using an interactive map that shows the selected location
inside the castle. A separate Street View version was also created, allowing users to move between
panoramic locations either step by step or by selecting a specific location from the scroll list. The
project was prepared for public presentation with a GitHub description and external Google Drive
download links for the large application files.
Recognition of generated photos
• This project implements a deep learning model for recognition real and generated images using
TensorFlow/Keras, structured with modular components and configurable path.
Bachelor's work
• This bachelor's work is about analyzing data and setting up monitoring screens using the Grafana
visualization platform. Its main goal is to develop and implement a data visualization program
for effective monitoring of processes and systems. The work focuses on analyzing available data
sources, connecting them to the PostgreSQL database system, and then processing the data for
visualization. The proposed methodology includes data collection, transformation, and storage,
monitoring panel design, and Grafana configuration to display key parameters. The result is the
creation of a monitoring solution that allows visualization of important indicators and supports
the decision-making process in system management. The last part of the thesis evaluates the
functionality of the implemented solution and its contribution to effective monitoring.
EDUCATION

Technical University of Košice
Bachelor of Intelligent Systems September 2022 - June 2025
• Completed my bachelor's degree in 2025.
Master of Intelligent Systems September 2025
• I am going to complete my master's degree in 2027.

SKILLS
• Python: Proficiency in Python for AI and machine learning projects, including neural networks.
• TensorFlow: Experience with machine learning frameworks for building and training models.
• PostgreSQL: Basic knowledge of SQL for data storage, queries, and database management.
• Azure, AWS, Google Cloud Platform & API's: Basic experience with cloud computing.
• HTML, CSS: Skilled in creating web layouts and styling pages for projects and portfolios.
• OpenCV: Experience in computer vision projects using image processing techniques.
• C: Basic understanding of algorithms, data structures, and low-level programming concepts.
• Docker, Git: Some experience with containerization and version control tools for collaborative
projects.
• Linux: Proficiency in working with command-line tools and scripting.
• C#: Basic understanding of object-oriented programming, data structures, and .NET framework.
• Flask, FAST API: Basic knowledge of web application development, and routing.
• MATLAB: Some experience with numerical computing, simulations, and basic scripting.
• Grafana: Know how to connect various plugins and databases and visualize data.
• Unity: Experience in developing interactive 3D applications, virtual tours, scene switching, UI
systems, and object interaction.
• Panorama / 360° Views: Experience with creating virtual tour scenes using panoramic images and
Street View-style navigation.
• C# in Unity: Basic experience with writing scripts for scene management, user interaction, UI control,
and application logic.
LANGUAGE

Ukrainian Native Language (C2)
English B1-B2 level
Slovak B1 Level