Summary
Alexey Ryazantsev is a Senior Data Scientist with four years of hands-on experience building production ML systems across e-commerce and banking, currently based in Dubai and leading ML engineering at Wildberries. He has repeatedly cut deployment and time-to-market cycles—reducing model deployment from two weeks to a day and AutoML delivery from two months to three weeks—by combining MLOps, UI-driven workflows and automated pipelines. His work spans multi-modal few-shot content moderation, real-time product substitution detection, and LLM-driven agents with text-to-SQL tool-calling, showing strength at the intersection of model research and pragmatic engineering. Previously at Alfa-Bank and CIARS he owned AutoML and AutoDL platforms, custom model blenders, and production retraining systems using Spark, Airflow, MLflow and containerized deployments. He also has an academic background in machine learning with published research on computational efficiency, and is completing a master's in ML, blending practical delivery with rigorous study. An uncommon strength is shipping end-to-end solutions that pair novel model architectures with developer-friendly deployment UX to dramatically accelerate business value.
4 years of coding experience
5 years of employment as a software developer
Степень бакалавра Прикладная информатика, Степень бакалавра Прикладная информатика at Finance University under the Government of the Russian Federation
Степень магистра Машинное обучение, Степень магистра Машинное обучение at Central University