Nanda V. is a proficient researcher and developer with a background in data science and computing, holding an M.Sc. from Sri Sathya Sai Institute of Higher Learning. At IIT Hyderabad, as a Research Intern, he developed a 3D vein mapping system utilizing stereo vision, enhancing medical application precision through robotic integration. During his internship at Sri Sathya Sai Super Specialty Hospital, he improved hospital data management by designing user interfaces and integrating Oracle Database for seamless data access. His role at YBI Foundation involved building machine learning interfaces to predict news authenticity, showcasing his skill in Python and PyTorch. Nanda's projects, like the gradient-aware muzzle-based cattle identification and stereo-assisted intravenous therapy, exhibit his expertise in computer vision and deep learning, achieving remarkable accuracy and integration with robotic systems.
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