AGATRONIK stands for custom electronics and software solutions, developed with technical precision, passion, and many years of experience.
As an independent developer or in collaboration with trusted partners from specialized fields, I support projects holistically – from the initial idea to the ready-to-use solution.
My goal: to develop technologies that not only work, but deliver lasting value.
I work with modern tools, primarily from the open-source ecosystem, including KiCad, Git, SVN, and Arduino, complemented by established industrial development environments such as LTspice, STM32CubeIDE, Atmel Studio, and Visual Studio Code.
Development of a compact, industrial-grade PC add-in card in M.2 form factor for serial data processing and forwarding.
Implementation of USB and serial interfaces (RS-232/RS-422, SPI, GPIO), including EMC-compliant circuit design, multilayer PCB layout, as well as system integration and functional testing.
Development of an LED-based traffic display board, including sensor integration (radar, temperature, radio, SMS, custom triggers) for traffic and information systems.
PCB layout and firmware development in C for ATMEL microcontrollers, as well as development of a PC application in VB.NET for configuring event-based triggers and managing LED pictograms.
Creation of technical documentation according to ISO 9001:2015, quality assurance, and support during production launch.
Porting of existing C firmware to new STM32 hardware (Peltier control system with CAN bus communication and multiple sensors).
Version control using Git and debugging via SWD.
Execution of functional tests including comparison between legacy and new systems, as well as preparation of technical documentation.
Development of a PC application in Python for recursive searching, analysis, and storage of image and data files on storage media.
Implementation of a graphical user interface (GUI) and a database for unique identification, classification, and management of discovered files (e.g. duplicate detection, metadata handling).
Suitable for structured analysis of large data sets.
