Pavel is a Data scientist and Machine learning engineer with over 15 years of experience. He has most recently applied his data engineering expertise at Apple.

Pavel’s formal background in mathematics adds to his multiple years of experience across the full Python ML stack, notably PyTorch. He tackles big data challenges using diverse platforms like Apache Spark and works extensively with modern LLMs, including large-scale and distributed training.

Prior to joining 0+X, Pavel applied deep learning to improve fraud detection at Yandex. At MegaFon, he built predictive machine learning models based on consumer data.