Adnane Salili

– During my final-year internship in the Feature Delivery team, I designed and implemented two Python-based internal tools integrated with Robot Framework and GitLab CI, significantly improving the efficiency and maintainability of visual and functional test automation for automotive HMI systems. – Designed and implemented a Python/PyQt-based Visual Failure Analysis Tool that parses failed test cases related to the Compare Image keyword, extracts actual/reference/delta images, and provides an interactive GUI for classifying failures as false positives or real defects. This improved triage efficiency and test maintenance by approximately 66%. – Implemented a rule-based generator that parses cluster alert specifications (Excel) and automatically produces standardized Robot Framework test cases. This automation eliminated manual inconsistencies and significantly reduced test authoring effort.

– As part of my end-of-studies internship, I contributed to the automation of Vector CANoe configuration generation for automotive ECU system testing, targeting CAN and LIN networks. – Developed a Python-based automation tool to generate Vector CANoe configuration artifacts for automotive ECU testing. The tool parses CAN (DBC) and LIN (LDF) network descriptions and Excel specifications to auto-generate environment variables, CAPL scripts (including E2E variants), and CANoe panels, significantly reducing manual configuration effort.

– Developed an industrial emulsion monitoring system combining Arduino FSM firmware, ESP8266 UART-to-HTTP gateway, and a PHP/MySQL web dashboard. Implemented sensor acquisition (4–20 mA), automatic correction logic (water/oil), telemetry transmission, backend data storage, and web-based visualization with history and export features. – Technologies: Arduino (C/C++), FSM-based control, UART, SPI, ESP8266, HTTP, PHP, MySQL, Chart.js, HTML/CSS.