I bring three years of experience calibrating scientific measurement instruments across mechanical and electrical systems, supported by a strong foundation in electronic engineering, data analysis, and applied programming.
My work is driven by curiosity, reliability, and a practical interest in building technology that is accurate, efficient, and useful in real-world environments.
My projects combine electronic engineering, software development, and data analysis, including computer vision, FPGA systems, LoRa monitoring, machine learning, and applied Python automation.