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Aleksandar Samsiev

Machine Learning Engineer at Empower Solutions
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About Aleksandar

Aleksandar Samsiev is a machine learning engineer and mathematics instructor with a passion for bridging theory and practice. He created the Linear Algebra and Feature Selection course at 365 Data Science, helping learners build the math skills essential for machine learning. With a first-class degree in Mathematics from the University of Bath and real-world AI experience at Empower Solutions, Aleksandar brings clarity to complex topics like dimensionality reduction, matrix operations, and feature engineering.

Background

Machine Learning Engineer at Empower Solutions

Building and deploying machine learning models for enterprises with focus on performance, data pipelines, and scalable AI systems.

Junior AI Engineer at MM Solutions JSC

Developed deep learning projects like semantic segmentation with U-Net, focusing on computer vision and model training workflows.

Track record

Bringing real-world expertise from leading global companies

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Academic background

Bachelor's degree, Mathematics

University of Bath UK

What can Aleksandar teach you?

Aleksandar Samsiev teaches the mathematical core of machine learning—from vectors and matrices to principal component analysis and feature engineering. With a balance of theory and hands-on coding, his teaching helps students confidently understand and apply essential linear algebra concepts in real-world AI projects.

Advanced Mathematics Linear Algebra Python Artificial Intelligence Data Science Dimensionality Reduction