Summary
Nitish Singh is a data scientist and production process engineer with eight years of experience applying operations research, simulation, and machine learning to smart manufacturing and Industry 4.0 transformations. He currently develops AI agents, digital platforms, and automated machining strategies at KMWE while teaching simulation with a top-rated Udemy course and transitioning into an Assistant Professor role at Eindhoven University of Technology. His PhD work focused on digital business ecosystems for collaborative high-tech manufacturing, and he has practical experience building digital twins, DELMIA-based transformation solutions, and validated production processes. Nitish bridges shop-floor realities and software by integrating heterogeneous data sources, qualifying robust processes, and supporting equipment selection for next-generation manufacturing. Colleagues rely on him for translating complex production constraints into deployable optimization tools and operator-facing dashboards. He combines academic rigor with hands-on implementation—often surfacing less obvious gains by automating CAM workflows and cross-tenant resource coordination.
8 years of coding experience
1 year of employment as a software developer
St. Gabriel's Academy, Roorkee
Doctor of Philosophy - PhD, Artificial Intelligence in Industrial Engineering at OPAC, Doctor of Philosophy - PhD, Artificial Intelligence in Industrial Engineering at OPAC at Eindhoven University of Technology
Bachelor of Technology (BTech), Bachelor of Technology (BTech) at Vellore Institute of Technology
Hindi, English, Dutch