Negin Schmidt

Summary of my background…

Strong and Broad Engineering Expertise – I possess strong and broad engineering expertise that bridges artificial intelligence, simulations, and computational systems. With a foundation in electrical and electronics engineering and an M.Sc. in Computational Neuroscience from TU Berlin and BCCN Berlin, I combine deep technical understanding with practical implementation across multiple domains. My work at Deloitte and Fraunhofer HHI has involved leading R&D projects in computer vision, robotics simulation (Omniverse, ROS2, Isaac Sim, Isaac Lab), LLM integration, and multimodal AI systems. This range of experience helps me approach AI and system development with a broad and flexible engineering mindset.

Open and Communicative – I value open and effective communication as a cornerstone of successful
engineering and collaboration. Throughout my work at Deloitte, I have led cross-functional teams across multiple countries, coordinating between engineers, data scientists, and stakeholders to achieve shared goals. My ability to explain complex technical concepts clearly to both technical and non-technical audiences fosters transparency, trust, and efficient teamwork. I actively encourage knowledge sharing, constructive feedback, and collaborative problem-solving to ensure that innovation is both inclusive and aligned with project objectives.