Akbota Anuarbek
Machine Learning Research Engineer at Independent Research and Projects
Kazakhstan
Summary
👤
Senior🎓
Top SchoolAkbota Anuarbek is a Machine Learning Research Engineer with nine years of experience building production-grade computer vision and ML systems across robotics, manufacturing, and audio domains. She has a strong mathematics and algorithms background from Duke and Nazarbayev University and has translated that into robust perception stacks—delivering real-time object detection, 3D pose/size estimation, and tracking for large-scale robotics deployments. At Dexterity she optimized model lifecycle and runtime (smaller images, faster inference, lower GPU usage) and owned perception systems for palletization and truck loading. Her research spans generative AI and LLM-based assistants as well as auditory deep learning for hearing-improvement applications, showing a rare blend of applied systems engineering and domain research. Based in Kazakhstan, she pairs theoretical rigor with hands-on integration across sensors and robots, often improving noisy, imbalanced real-world pipelines where small algorithmic changes yield outsized practical gains.
9 years of coding experience
6 years of employment as a software developer
Master of Science (MSc) Computer Science Economics, Master of Science (MSc) Computer Science Economics at Duke UniversityVisiting International Student Program, Visiting International Student Program at University of Wisconsin-MadisonBachelor's degree Mathematics Computer Science Economics, Bachelor's degree Mathematics Computer Science Economics at Nazarbayev University
Kazakh, Russian, English, French, SpanishGithub contributions (5)
akbotaa/BayesianStatsProjects
Jul 2017 - Jun 2019
Contributions:5 commits, 4 pushes, 1 branch in 1 year 11 months
akbotaa/WeddingWebsite
Sep 2017 - Dec 2017
Contributions:1 push, 1 branch in 3 months
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