From: Poland
Location: Samoklęski Małe, PL
On Useme since 23 October 2021
I am a young and aspiring programmer who passionately explores the world of technology, especially through the use of open-source solutions. My journey in programming began when I first encountered the Linux operating system. Since then, it has become my favorite working environment, and I continually develop my skills, utilizing its built-in tools.In my free time, I indulge in creating renders in Blender and am enthusiastic about programming microcontrollers and experimenting with Raspberry Pi. My approach to work is characterized by rapid learning and a commitment to constant improvement. I am open to new challenges and ready to collaborate with a team to achieve common goals
Jan 2023 - Now
Teldat
Maintenance and development of dedicated software for hardware designed by Teldat for the military sector. Specialization in network solutions, including routing protocols and network security
Jul 2022 - Dec 2022
Reverbland
Developing software and designing an algorithmic MIDI sequencer for the music industry, based on the ARM processor. Supporting and maintaining a platform for a metal processing company
Jan 2022 - Jul 2022
Autoproces
Building applications for 2D and 3D object detection using neural networks based on Raspberry Pi for various industrial solutions
Mar 2021 - Jan 2022
Metalwit Robots
Experience in designing, planning, and maintaining vision systems. Familiar with using neural networks and traditional algorithms to create these systems. These solutions were developed to support automation in production processes, particularly at r
Sequencer MIDI
Euclidian sequencer based rp 2040. Project is open source but still in beta version. https://playableel.blogspot.com
Euclidian sequencer based rp 2040. Project is open source but still in beta version. https://playableel.blogspot.com
End-to-end application for training and deployment of models for object detection and validation. Application communicates with PLC's and robots. Base board is Raspberry Pi 4
End-to-end application for training and deployment of models for object detection and validation. Application communicates with PLC's and robots. Base board is Raspberry Pi 4
Product placement in riveting machine using our smart camera. Very high precision (0.01 mm). Additional quality check and fast response time. STM-32 Camera with MicroPython on board. Works with Fanuc Robot using socket messaging communication
Product placement in riveting machine using our smart camera. Very high precision (0.01 mm). Additional quality check and fast response time. STM-32 Camera with MicroPython on board. Works with Fanuc Robot using socket messaging communication
Vision system for cardboard folding robot
ARM CPU board with linux, working with Basler camera and live preview with web interface. Program calculate cardboard position in 3D space and distance which can be measured with very high precision (1mm on entire stack's height). All working with re
ARM CPU board with linux, working with Basler camera and live preview with web interface. Program calculate cardboard position in 3D space and distance which can be measured with very high precision (1mm on entire stack's height). All working with re
Touch panel based on Raspberry Pi CM4, used for object detection and validation with special trained model, in real time. Camera streams image to panel and display validation results. If detected object is incorrect, panel displays alert with confirm
Touch panel based on Raspberry Pi CM4, used for object detection and validation with special trained model, in real time. Camera streams image to panel and display validation results. If detected object is incorrect, panel displays alert with confirm
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