Sripad Upadhyaya is an embedded software intern at Hahn-Schickard, contributing to the Agrasense project by applying deep learning techniques and performing analyses of UV visible spectral data. Currently pursuing a master's degree in Embedded Systems Engineering at the University of Freiburg, Sripad has a strong foundation in machine learning, embedded AI, and system design. Previous experience includes developing firmware for smart city infrastructures at the University of Freiburg and working as an embedded software developer at Bosch Global Software Technologies, where Sripad worked on software for near-range camera systems. Academic background includes a bachelor's degree in Electrical, Electronics, and Communications Engineering from Ramaiah Institute of Technology.
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