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Builds and fine-tunes diffusion models to generate and style product photos for an online fashion catalog, then deploys them with MLOps/backend teams.
Data Scientist on Lamoda's search team, improving e-commerce search algorithms using neural networks and LLMs — query/product attribute enrichment, empty-query handling, personalization, navigation features, and search quality evaluation. Core stack: Python, SQL, Hadoop/Hive/Spark, and ML libraries like PyTorch and CatBoost/XGBoost.
Build and scale AI assistants for development and analytics using LLMs and agentic patterns, integrating retrieval systems and MLOps primitives into production pipelines.
Рекомендации на Главной странице (нейросетевые кандидаты, LLM-сценарии, ранжирование) Рекомендации на странице продукта (похожие товары, "с этим товаром покупают", Metric learning, MTMH-кандидаты) Рекомендация…
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