Research context
I am a Computer Science student at Gdańsk University of Technology, currently working as an Embedded Software Engineer at SimLE PG and as a Hardware/ML Engineer at Gradient PG. My work connects embedded systems, hardware integration, machine learning, and applied research.
At SimLE PG, I develop embedded software for a student rocket, focusing on reliable onboard systems, low-level C++ programming, and communication between rocket modules. This role allows me to work on real engineering challenges where performance, reliability, and clean system architecture are essential.
At Gradient PG, I serve as one of the coordinators of the Neuro AI research project, where I work on hardware and machine learning solutions for EEG-based concentration classification. The project focuses on analyzing brainwave signals to classify concentration levels, combining signal acquisition, hardware integration, data processing, and machine learning.
I am also working on a scientific paper related to the application of Multi-Agent Systems in medicine under the supervision of Professor Rumiński. Through my research and engineering work, I aim to combine embedded systems, AI, and biomedical applications to solve practical real-world problems.
My main interests include embedded software, hardware integration, autonomous systems, machine learning, biomedical AI, EEG signal analysis, and research-driven engineering.
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What I bring
I bring a strong technical foundation in embedded software, C/C++, algorithmics, and hardware integration, supported by hands-on experience in academic engineering projects.
I combine low-level programming skills with machine learning and research experience, which allows me to work across both software and hardware layers. I am comfortable solving complex technical problems, optimizing systems, and contributing to projects that require reliability, precision, and practical engineering thinking.
I also bring experience in team-based research and project coordination, especially in interdisciplinary areas such as EEG signal analysis, AI, and medical applications of Multi-Agent Systems.
Looking for
I am looking for opportunities to further develop as an Embedded Software Engineer and contribute to challenging engineering projects involving embedded systems, autonomous systems, hardware integration, and applied AI.
I am especially interested in projects where software interacts closely with hardware and where reliability, performance, and real-world impact matter. I am also open to research-oriented opportunities connected with machine learning, biomedical AI, EEG signal analysis, and Multi-Agent Systems in medicine.
