Summary
Aleksei Alekseev is a machine learning leader with 17+ years in software development, R&D and production ML, currently leading an Ads ML team at Meta building optimization products for advertisers and publishers. He combines deep learning expertise across recommendation, NLP and computer vision with hands-on engineering in Python, Scala, C#/C++ and production big-data stacks like Spark, Kafka and Hive. His background spans search quality at Yandex, large-scale marketing and ad systems, and freelance ML/NLP projects—bringing both research-grade models (TensorFlow, PyTorch) and pragmatic deployment experience. A former ACM semifinalist with a master’s in applied mathematics from MSU, he has a track record of founding and scaling teams, architecting data platforms and implementing work in domains from medical NLP to reinforcement learning for automation. Colleagues describe him as a pragmatic researcher who moves state-of-the-art algorithms into robust, measurable production impact.
10 years of coding experience
11 years of employment as a software developer
Lomonosov Moscow State University
Русский, English