Aleksei Karpov
Machine Learning Engineer at MetaOptima Technology Inc.
Vancouver, British Columbia, Canada
Summary
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Senior🎓
Top SchoolAleksei Karpov is a machine learning engineer with nine years of experience and a 5+ year focus on deep learning for computer vision and speech processing, currently driving R&D at MetaOptima Technology in Vancouver. He has moved research ideas into production—designing self-supervised monocular depth models that combine ViT and CNN architectures (published at ISMAR) and shipping real-time speech enhancement/separation models optimized for smartphones and laptops at Huawei. Comfortable across the stack, he builds data pipelines, crafts DSP-based dataset cleaning and augmentation, and created a multi-threaded Android test app to collect real-world evaluation data. His work blends rigorous mathematical foundations from MIPT with practical deployment skills, enabling prototypes to become integrated product components. Notably, he bridges academic research and product engineering, with experience taking novel depth-estimation methods from publication to applied systems.
9 years of coding experience
3 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Moscow Institute of Physics and Technology (State University) (MIPT)
Github Skills (23)
robotics10
image-processing10
computer-vision10
artificial-intelligence9
pytorch9
python9
machine-learning9
deep-learning9
embedded8
object-detection8
neural-network8
ios7
onnx7
gpu7
yolov57
Programming languages (3)
Github contributions (5)
ahbpp/Prometheus_book
Dec 2019 - Mar 2021
Contributions:15 commits, 1 PR, 14 pushes in 1 year 3 months
ahbpp/smart-home-2019
Mar 2019 - May 2019
Contributions:9 PRs, 18 pushes, 1 branch in 2 months
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