György Katona is a Technical Project Manager at Bosch Hungary, specializing in data-driven solutions for automotive innovation. With over 5 years of experience in the automotive sector, he has led large-scale data management platforms and currently spearheads a project developing tools to streamline data enrichment for machine learning engineers. Passionate about the transformative power of data, György excels in bridging technical gaps between teams, optimizing workflows, and delivering scalable solutions that address critical bottlenecks in ADAS development. His expertise spans data science, AI-driven tooling, and collaborative problem-solving, ensuring robust and efficient ML pipelines for autonomous driving systems.

What drives me is the thrill of turning complex challenges into streamlined solutions. I thrive on collaborating with diverse teams - understanding their pain points, dissecting their workflows, and crafting tools that empower them to focus on innovation. Data isn’t just numbers or algorithms to me - it’s the backbone of safer, smarter autonomous systems. Whether it’s visualizing insights to tell a compelling story or designing AI tools that accelerate development, I love how my work directly impacts the future of mobility.