Vladislav S is a Senior Data Scientist and ML engineer with 11+ years delivering end-to-end systems that take raw data into production across e-commerce analytics, RTB, aerial remote sensing, medical imaging, and applied NLP. He blends research-grade modeling (graph neural nets, U-Net/SegFormer, hyperspectral classifiers, TCNs) with pragmatic engineering—rewriting training infra, slashing costs and turnaround times, and introducing reproducible experiment tracking. Notable wins include a 50% speedup in 3D point-cloud processing, an 80% AWS cost reduction from infra redesign, and a patented workflow for hyperspectral/RGB annotation. Comfortable across modalities from LiDAR and hyperspectral to X‑ray and time series, he focuses on models that measurably improve products and teams, mentoring engineers into stronger coders. Based in Dubai, he now applies ML to network security and API protection, bringing a mix of systems-minded optimization and research intuition that often uncovers non-obvious cross-modal gains.
11 years of coding experience
9 years of employment as a software developer
Specialist, Economics, Specialist, Economics at Higher School of Economics
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