- Software development — Python desktop applications that drive frequency response analyzers and multi-battery test systems over USB and Ethernet, from instrument communication up through the interactive user interface.
- Data analysis — measurement acquisition, interactive visualization, and mathematical modelling tools that estimate transfer functions of test circuits using NumPy and SciPy.
- AI assistant — integrated an AI chat assistant into the instrument software, so customers can ask for measurement reports in plain language, get step-by-step help configuring the analyzer, and receive AI-generated analysis and recommendations drawn directly from live instrument data.
- Containerization — migrated licensing services off shared hosting onto Docker containers on an on-premise virtual machine, improving performance, reliability, and scalability.
- Secure infrastructure — moved SVN repositories from a legacy Ubuntu server into a Dockerized, SSH-secured environment with clearer access control.