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Kapil Deshpande serves as a Junior Researcher at PROFACTOR GmbH since September 2021, focusing on multi-agent renewable energy systems, reinforcement learning, and 3D human pose estimation. Prior experience includes a Master Thesis Project at ZF Group, where Kapil analyzed multi-robot systems and implemented distributed simulation architectures. At ZF Group, Kapil also contributed as an intern in both autonomous guided vehicle connectivity and predictive driving functions. Earlier roles included serving on the examination board at Darmstadt University of Applied Sciences and working as a DevOps Engineer at Tata Consultancy Services, where responsibilities encompassed advanced supply chain planning and automation projects. Capable academic credentials include an International Master's in Electrical Engineering and Information Technology, specializing in Robotics and Automation Engineering from Darmstadt University and a Bachelor's in Electronics and Telecommunication from Samrat Ashok Technological Institute.