Prerna Singh is a Senior Applied Scientist at Microsoft with nine years of experience applying machine learning and reinforcement learning to real-world problems across robotics, healthcare, and document understanding. She holds a Master's in ECE from Carnegie Mellon and has authored five peer-reviewed papers including an IEEE transaction, with early industry research at TCS R&I that produced novel DDPG experience-replay architectures and a patent. At CMU she built Neural ODE–based models to predict individualized drug response curves used by UPMC, and more recently she has presented practical ML workshops and talks at Machine Learning Week and Google DevFest. Prerna blends hands-on systems work (Gazebo, TensorFlow, Torch, C++) with production ML at scale, and she actively mentors and teaches practitioners and students in applied deep learning.
Contributions:1 release, 85 pushes, 16 branches in 5 months
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