Diana Zavoianu

am an analytical Medical Engineer and Technical Support Specialist with a proven track record of diagnosing complex enterprise software anomalies and bridging the gap between technical infrastructure and biomedical systems. Currently serving as a Support Analyst for enterprise CAD platforms, I specialize in application crash diagnostics, memory leak analysis, performance profiling, and event log investigation. I routinely build, configure, and manage sandboxed virtual testing environments using VMware Workstation to isolate edge-case application bugs across various operating system configurations. Beyond software diagnostics, my engineering expertise centers on hardware-software integration, low-level microcontroller programming (ESP32, ST microcontrollers), and Internet of Medical Things (IoMT) telemetry architectures. My notable technical executions include engineering an end-to-end predictive IoT indoor air quality monitoring system integrating an Azure AutoML model served via FastAPI, as well as manufacturing electromechanical sub-assemblies for respiratory support hardware at Politecnico di Milano.