Yordan Hristov
Research Scientist at Meta
City of Edinburgh, Scotland, United Kingdom
Summary
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Senior🎓
Top SchoolYordan Hristov is a research scientist with 12 years of experience specializing in Human-Robot Interaction and weak supervision techniques that accelerate agent learning. He holds a PhD in Robotics and Autonomous Systems from the University of Edinburgh and has translated academic methods into production, deploying neural and heuristic solutions on physical robots and large-scale closed systems. Currently at Meta after a postdoc and multiple research roles at Edinburgh, he combines deep learning expertise (PyTorch, TensorFlow, Chainer) with low-level programming in C/C++ and practical cloud deployment experience on AWS and GCP. His background includes industry consulting on computer vision and ML internships at Amazon and Skyscanner, demonstrating an ability to bridge research and product engineering. Based in Edinburgh, he brings a pragmatic focus on weakly supervised methods that let human experts speed up real-world learning—an approach that often reduces reliance on costly labeled data.
12 years of coding experience
5 years of employment as a software developer
Bachelor of Science (BSc), Computer Science, First Class Honours, Bachelor of Science (BSc), Computer Science, First Class Honours at The University of EdinburghHigh Scool of Mathematics "Baba Tonka"
Bulgarian, EnglishGithub contributions (1)
boris-penev/sports-cubed
Jan 2014 - Oct 2014
Contributions:51 commits in 8 months
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