Summary
Daniel Speck is a research-active AI engineer and doctoral student based in Hamburg with 11 years of combined academic and industry experience in deep learning, explainable AI, and industrial vision systems. He leads and mentors teams as a technical lead and project manager, translating research prototypes into deployed solutions for robotics and industrial image processing. Currently pursuing a Dr. rer. nat. on growing neural networks and XAI, he blends meticulous data collection and evaluation practices with pragmatic software architecture planning. Daniel’s background spans tutoring in humanoid robotics and long-term involvement in the local RoboCup team, reflecting a hands-on approach to embodied AI. Equally comfortable in R&D and client-facing consulting, he is driven by challenging problems and by making neural models more transparent and usable in real-world settings.
11 years of coding experience
3 years of employment as a software developer
Master of Science - M.Sc., Intelligent Adaptive Systems, Master of Science - M.Sc., Intelligent Adaptive Systems at University of Hamburg
German, English, Spanish