Mag. Rafal Zubkowski

Intelligent vision technology for industry automation- coordinating team (8 people). C++, C++14, python, OpenCV, Qt, Linux-debian , Intelligent Objects Recognition - classic algorithms for camera vision, deep-learning (TensorFlow, Keras, Darknet, YOLO classification, semantic segmentation).Automated test/learning framework.

Test machines development for ZFAS HIL/SIL for automotive industry - AUTOSAR car parking assistant modules. Several technologies used. - most critical problems solving for complex automated test environment - test machine framework for HIL tests development (many technologies: PYTHON, JAVA, CAN’oe, ADTF … ) - coordinating, technical support (automotive domain knowledge sharing) for local team

Automotive Infotainment Software development for Car Radio/Tv/Navigation system for Chrysler customer. Embedded C, C++, QNX, linux.

Passive Safety Software development of car Airbag modules for Fiat group customer (Fiat, Maseratti, Ferrari, Chrysler), Development of SW for automated belt retractor modules ( Audi, Daimler ). embedded C, CAN, ISO_TP, UDS, KWP2000 CANoe – advanced knowledge (CAPL, own libraries C++) CanBedded, Candela, Vector DB. DOORS, AUTOSAR , MISRA, SPICE, Functional Safety

Development of MQX (RTOS) operating system software for ColdFire microcontroller series. embedded C, MQX RTOS (Freescale), PERL script, CruiseControl (testing automation framework).

Hardware development of electronic controllers.