Yaman Neameh

Lead Business Consultant for Cognitive Process Automation, driving intelligent automation solutions by extending RPA —software robots for rule-based tasks— with cognitive technologies for processing unstructured data, enabling context-aware decisions, and facilitating seamless human collaboration. Focus on cloud AI, document understanding, agentic workflows, and compliant, scalable architectures. Work closely with business and technical teams to ensure high-quality, future-ready automation delivery.

- Accenture is a leading global professional services company providing a range of strategy, consulting, digital, technology & operations services and solutions - Role: Tech Lead for designing, building, testing, deploying virtual workforce, which leverage Robotic Process Automation (RPA) and Applied Intelligence technologies to interpret with company’s systems (SAP, Java, Web .Net, Mainframe, Salesforce, APIs...etc) in the same way as existing user - Tools: Blue Prism, UiPath, NICE, Automation Anywhere

- e+v Technology GmbH is a worldwide operating company for delivering automation solutions in the food production industry (poultry, sheep, pork, beef, meat, fish, vegetables ..etc) - Role: development of computer vision solutions for qualitative and quantitative evaluation of the food products, incl. 3D scanning/ object profile modeling, defect inspection, classification, grading and quality assurance - Tools: Microsoft Visual Studio (C++, C#), 2D/3D Camera, OpenCV, lighting, Sensors

- Celisca is a research automation institution of the University of Rostock, in which engineers and scientists cooperate closely for providing innovative solutions in the life science technologies - Role: software development real-time path planning of robot arm for the grasping process of chemical samples by the guidance of computer vision techniques in a highly dynamic environment - Tools: Microsoft Visual Studio (C#), H20 Mobile Robot, Camera, OpenCV, Sensors

Computational Engineering ist eine moderne und multidisziplinäre Wissenschaft für computergestützte Modellierung, Simulation und Optimierung von komplexen Engineering Anwendungen und Naturphänomene Masterarbeit: Komponenten der Grafischen Darstellung für Roboter Indoor Lokalisierung, 1.4 sehr gut

Der Lehrplan bietet Kernwissen Aktivitäten in Telekommunikation und Elektronik Engineering. Es enthält Themen sowie die integrierten Schaltungen, automatischen Steuerung, Kommunikations- und Netzwerksysteme, Signalverarbeitung und Antennensysteme. Bachelorarbeit: Controller Area Network (CAN-Bus)