Shreya Sharma is a robotics and ML researcher-engineer with eight years of experience building real-time decision systems and large-scale models, currently at World Labs after a research engineering stint on Codec Avatars at Meta Reality Labs. She holds an MS in Robotics from Carnegie Mellon and advanced CS degrees from IIT Delhi, blending strong mathematical foundations in probability and statistics with hands-on expertise in reinforcement learning and vision-language models. Her research explores brain-inspired architectures—specifically cortico-basal ganglia-thalamic circuits—to improve sequential online decision-making and human-AI collaboration. Comfortable moving models from lab to product, she has contributed across academia and industry including ETH Zürich, Microsoft, and multiple international research internships. Based in San Francisco, she’s actively seeking ML and data-focused roles where she can push novel research into practical systems. An uncommon strength is her ability to translate neuroscience-inspired theory into scalable, real-time ML components for embodied and interactive applications.
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