Kanat Alimanov
Computer Vision Researcher at ZennoLab
Akmola Region, Kazakhstan
Summary
👤
Senior🎓
Top SchoolKanat Alimanov is a computer vision researcher with 11 years of experience building practical AI systems, currently focused on applied CV work at ZennoLab. He has led machine learning teams developing real-time action detection, anomaly detection, FaceID and tracking for safety systems, and previously researched brain-computer interfaces and ML-based cryptanalysis at Nazarbayev University. His background spans both research and product engineering—designing deep learning models for signal quality estimation at NXP and shipping end-to-end applications—from web messengers to real-time EEG-driven interfaces. Based in Kazakhstan, he combines academic rigor (MS in Computer Science) with hands-on deployment experience in latency-sensitive, safety-critical contexts. A less obvious strength is his cross-domain fluency: he routinely translates neuroscience paradigms (ERP, SSVEP, MI) into machine learning solutions, showing comfort moving between signal processing, security-focused ML, and computer vision.
11 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Nazarbayev University
Github Skills (15)
apple-music9
music8
keras6
python6
react6
neural-architecture-search6
automated-machine-learning5
deep-learning5
machine-learning5
cpp4
tensorflow4
automl3
macos3
pytorch3
semantic1
Programming languages (3)
Github contributions (5)
paindefender/project-ideas
Oct 2018 - Apr 2019
Repository to keep track of project ideas. Most of them are dumb, I won't be offended if you steal them.
Contributions:8 commits, 7 pushes, 1 branch in 5 months
pythoncppkeepdumbsteal
paindefender/peoplenet_torch
Oct 2023 - Dec 2024
Contributions:2 releases, 9 pushes, 1 branch in 1 year 2 months
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