Wojciech Orzeł

Software Engineer

SoftSystem Sp. z o.o•  July 2023 - October 2024

During the internship, my main task was training in creating web applications in Python FastAPI, Vue3 JS, PostgreSQL and Docker. This web application was created during this internship. My additional task was to try to develop an application that would predict the urgency of support tickets. For this purpose, I used the scikit-learn framework for natural language processing. This project could not be completed due to the excessive amount of data used and problems in selecting the appropriate ML algorithm.

Junior Developer - application tester

MV Center Systemy Wizyjne•  June 2022 - September 2022

I did my student internship at MV Center Systemy Wizyjne, where I was involved in testing the vision control capabilities of various products and creating test stands for this purpose. I created programs to extract the desired features from the controlled objects and to determine whether a given detail complies with the requirements.

AGH University of Science and Technology, Cracow

Computer Science, M.Tech•  October 2023 - Present

I am currently a student majoring in Computer Science in Engineering at the AGH University of Krakow. I have chosen subjects on working with databases and their data processing.

AGH University of Science and Technology, Cracow

Mechatronic Engineering, B.Tech•  September 2019 - January 2023

In college, I had several subjects related to signal processing, control and simulation of mechatronic systems, optimization and machine learning mainly in the Matlab environment. There were also other subjects related to programming: object-oriented programming in C++, programming in C and creating websites based on PHP, JS and MySQL. The subject of my engineering thesis was Generative - Adversarial networks for generation and compression of thermography data. The aim of the work was to create an algorithm that, using the StyleGAN3 network and a genetic algorithm, will find the hidden representation of an image representing thermographic data. This project was made in the Python environment, mainly using the PyTorch library