Nemanja Rakicevic is a Senior Research Scientist at Google DeepMind with a decade of experience advancing machine learning and robotics, currently focused on developing AGI-capable algorithms for real-world robotic systems. His work emphasizes reinforcement learning, probabilistic exploration, and skill transfer, bridging rigorous academic research (PhD from Imperial College London) with applied field experiments on robotic platforms. He has held research and engineering roles across DeepMind, Tractable, LAAS‑CNRS and Imperial College, contributing to sequential and dynamical modeling methods ranging from HMMs and CRFs to deep RL. Comfortable moving between theory and deployment, he has a track record of translating multi-modal, temporal models into working robot behaviors and real‑time personality estimation systems. Based in the UK, he combines cross-cultural robotics training from the EMARO programme with hands-on experience in rover and manipulator systems—an unusual blend that informs his practical approach to AGI for robotics.
10 years of coding experience
5 years of employment as a software developer
PhD Machine Learning and Robotics, PhD Machine Learning and Robotics at Imperial College London
MSc (EMARO - M1) Advanced Robotics, MSc (EMARO - M1) Advanced Robotics at Università degli Studi di Genova
MSc (EMARO - M2 final semester) Mobile Robotics, MSc (EMARO - M2 final semester) Mobile Robotics at Keio University
MSc (EMARO - M2) Advanced Robotics, MSc (EMARO - M2) Advanced Robotics at Centrale Nantes
BSc Mechatronics Robotics and Automation Engineering, BSc Mechatronics Robotics and Automation Engineering at Faculty of Technical Sciences, University of Novi Sad
Pixelating an image by using a search term to images to use instead of normal pixels.
Contributions:36 commits, 2 PRs, 33 pushes in 2 years 2 months
pythonnormalpixelsimage-processingterm
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Nemanja Rakicevic - Senior Research Scientist at Google DeepMind