Summary
Vikentii Pankov is a Senior Deep Learning Engineer and Member of Technical Staff specializing in speech processing and generative AI, with nine years of industry experience and a Ph.D. focus in Mathematical Robotics and AI. He has led end-to-end development of state-of-the-art TTS, voice conversion, and speech-translation systems—delivering measurable quality wins versus commercial competitors and deploying models in production pipelines. At Rask AI and Huawei he combined research innovations (flow-matching, VAE/VITS hybrids, self-supervised losses) with pragmatic engineering like Triton-based serving and streaming inference to boost robustness, naturalness, and speaker similarity. He also brings prior ML deployment and forecasting experience from energy applications, showing strong full-stack skills from data pipelines and PySpark to API and MVP delivery. Based in Portugal, he blends rigorous academic training with production-focused impact, often translating cutting-edge ideas into user-preferred products.
9 years of coding experience
6 years of employment as a software developer
Ph.D., Mathematical Robotics and Artificial Intelligence, Ph.D., Mathematical Robotics and Artificial Intelligence at Saint Petersburg State University
Additional education, Algorithmic Bioinformatics, Additional education, Algorithmic Bioinformatics at Bioinformatics Institute