Alexander Yalunin is a Senior Deep Learning Engineer with 9 years of experience blending rigorous software engineering and mathematics to build production-grade recommender systems and NLP solutions. He has driven ML efforts across Yandex, Sber AI Lab, and Joom Group, moving from Transformer-based sequence models and collaborative filtering to agentic RL and LLM search alignment for conversational AI. At Sber AI Lab he contributed to biomedical LLMs for medical AI, and more recently at Yandex he’s focused on aligning large language models and agentic behaviors in search. He combines hands-on model development (BERT4Rec, Behavior Sequence Transformer, EASE) with scalable system design for e-commerce personalization and AI products. Comfortable with both research and production constraints, he also brings early blockchain/solidity backend experience that underscores a practical, multidisciplinary mindset. Based in Moscow, he pairs advanced theoretical training from HSE and Yandex School of Data Analysis with a track record of shipping impactful ML systems.
9 years of coding experience
7 years of employment as a software developer
Master's degree Mathematics and Computer Science, Master's degree Mathematics and Computer Science at Higher School of Economics
ML Engineer, ML Engineer at Yandex School of Data Analysis
Contributions:21 commits, 2 PRs, 18 pushes in 22 days
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Alexander Yalunin - Senior Deep Learning Engineer at Yandex