Raman Palikarpau is a data scientist with 11 years of experience specializing in computer vision and machine learning, blending academic rigor from a PhD in AI with practical impact in e-commerce at Shopee and SWAT Mobility. He has led applied research and production deployments—most notably engineering a video highlight generation pipeline that drove over one million additional orders annually and improving large-scale image-text retrieval for image search. His background in physics and computer modelling informs a quantitative approach to designing deep learning architectures and synthetic-data pipelines for image quality and metric-learning problems. Comfortable moving projects from research prototypes to scalable production systems, he combines experimentation, algorithm design, and system-level thinking to solve real-world vision challenges. An unexpected strength is his track record of creating synthetic datasets and custom losses to overcome data scarcity and retrieval performance limits.
11 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Physics, 9.27/10, Bachelor of Science - BS, Physics, 9.27/10 at Belarusian State University
Doctor of Philosophy - PhD, Artificial Intelligence, 4.83/5.0, Doctor of Philosophy - PhD, Artificial Intelligence, 4.83/5.0 at Nanyang Technological University
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