Hi, I am Pavel.
I am currently exploring the intersection of applied AI, tools for scientific exploration, and industry. Previously, I led AI in several companies: from banks to social networks.
I live in Berlin, Germany, with my wife and daughter.
Recent Interviews/Opinions
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Constructor University und Firma Sumsub forschen zu Deepfakes: Weser Kurier (22.09.2025)
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TechTransformed: The AI fraud Epidemic, an episode on AI fraud: Apple Podcasts (05.08.2024)
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My commentary on deepfakes and identity fraud in Bloomberg (18.06.2024)
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African elections in deepfakes, live, at CNBC Africa (31.05.2024)
Selected Talks
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Money2020: AI vs. Digital Fraud: Unmasking Fintech’s Hidden Enemy, Money2020, 2024
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AI as a Catalyst for Disruption and Innovation Across Industries, panel discussion, GTC 2022
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Deploying Natural Language Processing Beyond English, panel discussion, GTC 2021
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The Allen AI Science Challenge, (7th place) & DeepHack Q&A hackathon (1st place), talk on the solution (slides)
Selected Peer-reviewed Publications
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E. Lagutin, D. Gavrilov, P. Kalaydin, Implicit Unlikelihood Training: Improving Neural Text Generation with Reinforcement Learning, Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics, 2021.
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N. Zueva, M. Kabirova, P. Kalaydin, Reducing unintended identity bias in Russian hate speech detection, Proceedings of the Fourth Workshop on Online Abuse and Harms, 2020.
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D. Gavrilov, P. Kalaydin and V. Malykh, Self-Attentive Model for Headline Generation, Proceedings of the 41st European Conference on Information Retrieval, 2019.