I am an engineer with a background in automation and robotics, passionate about modern technologies and their practical applications. My work focuses on designing, optimizing, and implementing automation systems that streamline industrial processes and enhance their efficiency and reliability.
I have experience working with advanced control systems, industrial robotics, and integrating devices in complex production environments. My knowledge of PLC programming, control system design, and data analysis allows me to take on challenges in creating modern and innovative solutions.
My key qualities are precision, analytical thinking, and the ability to solve complex problems. I value teamwork, yet I am also capable of effectively executing tasks independently.
Privately, I enjoy logical challenges, which I find in chess, and I express my creativity by playing the guitar. I appreciate maintaining a balance between work and my passions, which helps me grow both professionally and personally.
Skills:
Programming: Python (torch, numpy, pandas, flask, faiss, opencv), C, C++, VHDL, Verilog.
Tools: Matlab, LTSpice, Vivado, KiCad, TIA Portal, Linux, Git, Docker, Jenkins, Kubernetes.
Languages: Polish (native), English (C1).
Professional Experience:
RDUCH Bells & Clocks – Intern
During my internship at RDUCH Bells & Clocks, I had the opportunity to gain valuable experience in the field of automation and electronics. My main tasks included assembling control cabinets according to technical documentation, programming displays used in control systems, and precise soldering of electronic components.
This work required accuracy, familiarity with electrical schematics, and proficiency in using workshop tools. Through these responsibilities, I developed my practical technical skills and learned to collaborate effectively with a team on advanced projects.
exa22 – Junior Machine Learning Specialist
During my time at exa22, I had the opportunity to work on advanced machine learning solutions applied in embedded systems. My responsibilities included developing an object detection system for a smart fridge, which enabled recognition of items placed inside, and implementing a failure detection system to monitor device status and identify anomalies.
In addition to machine learning tasks, I was also involved in building REST APIs to facilitate communication between system components and deploying ML models. I gained hands-on experience with embedded programming in C, working with RTOS Zephyr to develop efficient software for microcontrollers.
This role required both analytical thinking and practical engineering skills, as well as collaboration within an interdisciplinary team focused on innovation and product development.
Polish 
English