Dr Nikita Golovko

Software and solution architect with 16+ years of experience designing production-grade systems for industrial environments. Focused on Physical AI and industrial AI architectures across sensing, edge processing, cloud platforms, deployment, inference performance, and lifecycle governance. Holds a PhD in Machine Learning with research in industrial control and optimization, representing an early foundation of what is now described as Physical AI. Experience Siemens AG, AI Portfolio Architect — 2022–Present Architects industrial AI products across edge and cloud. Led architecture for Vision Engineering Portal and Visual Data Collector. Designed edge-to-cloud AI systems and improved inference performance by ~60% through NVIDIA Triton integration. Digital Dream Labs, CTO / Head of R&D — 2016–2022 Led software architecture and delivery of distributed systems and ML-based products. Jet Infosystems, Presales Solutions Architect — 2018–2020 Designed AI and IoT architectures for digital twins, predictive diagnostics, visual classification, and edge AI scenarios. Education PhD in Machine Learning, Orenburg State University Postgraduate Diploma and Degree in Industrial Cybernetics and Control Systems