HARDWARE, CODE
& INTELLIGENCE
Bridging Linux-based embedded appliances, automated HIL test ecosystems, ALM synchronization pipelines, and on-demand agentic AI.
I engineer end-to-end software and verification ecosystems that unite physical hardware with high-level intelligence. My daily work spans from low-level communication with power control modules and appliance microcontrollers to orchestrating distributed test benches, automating engineering lifecycles, and deploying task-oriented autonomous AI agents.
Whether it is automating the continuous validation of a smart appliance running Qt over Linux, developing real-time bridges between Confluence specifications and Jira/Polarion requirements, or designing computer vision models capable of understanding custom graphical interfaces, my focus is on reliability, scalability, and zero-compromise developer ergonomics.
Embedded & HIL Ecosystems
Hardware-in-the-loop validation of smart appliances: controlling heaters, pumps, BLDC motors, and sensors while probing asynchronous DBus messaging and Linux Qt/QML interfaces.
Explore HIL & Systems →Requirement & Code Generation
Bidirectional automation connecting Confluence, Jira, and Polarion. Automatically parsing wiki diffs into requirements and synthesizing executable Python test suites directly from specs.
Explore Tooling →Agentic CLI & Vision Models
Task-driven Agent-to-Agent (A2A) on-demand CLI architectures alongside ResNet-Transformer widget detectors, custom display OCRs, and multimodal screen state classifiers.
Explore Applied AI →