Prohor Gladkikh is a Data Science Team Lead with 12 years in software engineering and over 4 years specializing in ML/NLP, currently leading data science at Yandex after roles at SberDevices and Sberbank. He built a document-processing competence center from scratch and pioneered AutoNER, a PyTorch-based DL framework now adopted across 10+ teams within Sber and supported by an active community. Prohor combines production-grade engineering—evidenced by a x300 speed-up of Spark ML workloads—with research into continual, active and meta-learning for NER. He holds a master’s from MIPT and has a habit of shipping small cross-platform apps and a kids’ game, reflecting broad curiosity beyond core ML. Colleagues know him for translating cutting-edge models (BERT/Longformer/ALBERT) into scalable, client-facing solutions and for driving low-code ML-ops integrations.
12 years of coding experience
12 years of employment as a software developer
Master's degree Applied Mathematics and Physics, Master's degree Applied Mathematics and Physics at Moscow Institute of Physics and Technology (State University) (MIPT)
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