Kapil Deshpande is a Research Engineer with eight years of experience applying robotics, automation and ML to industrial problems, currently researching deep multi-agent reinforcement learning for renewable energy and manufacturing at PROFACTOR GmbH. He blends hands-on ROS development—writing camera drivers and building dynamic behavior-tree task engines—with applied research in 3D human pose estimation, gesture recognition and ablation studies on multi-stage manufacturing data. His master’s in Electrical Engineering and Information Technology from Hochschule Darmstadt underpins work on multi-robot simulations, cloud–robot bridges and traffic optimization using VDA5050. Past roles at ZF Group and TCS show a practical track record integrating connectivity protocols, distributed simulations (Docker/OpenShift) and ERP automation into production workflows. Ambitious about Industry 4.0, he focuses on agile autonomous mobile robots that bridge research prototypes and deployable systems. Outside the obvious, he combines cloud-native simulation tooling with low-level ROS driver development—a mix that accelerates lab-to-factory transfer.
8 years of coding experience
2 years of employment as a software developer
International Masters in Electrical Engineering and information technology, Robotics and Automation Engineering, 2.0, International Masters in Electrical Engineering and information technology, Robotics and Automation Engineering, 2.0 at Darmstadt University of Applied Sciences
Bachelor's of engineering, electronics and telecommunication, 7.92, Bachelor's of engineering, electronics and telecommunication, 7.92 at Samrat Ashok Technological Institute,Civil Lines, Netaji Subhash Marg, Vidisha
aisssce, 80%, aisssce, 80% at Saint Mary's Convent
10th, aissce, 9.4, 10th, aissce, 9.4 at Christu Jyoti Convent school UJJAIN
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Kapil Deshpande - Research Engineer at PROFACTOR GmbH