Veronika Kotova is an AI consultant and product-minded ML practitioner with 8 years of experience building and productizing speech and NLP systems in regulated banking environments. She has driven measurable impact—improving speech recognition accuracy by 10%, doubling inference speed, and integrating a production speech system into three banking processes while navigating BaFin compliance. With a background that spans research (peer-reviewed NLP publication), hands-on model engineering, data creation, and product ownership, she bridges stakeholder needs and technical delivery. Her early work ranges from DNA-focused ML tools to IoT prototypes, revealing a talent for turning academic ideas into usable, auditable products. Based in Bavaria, she combines multilingual, cross-cultural experience (including study at Tsinghua) with a pragmatic focus on monetization, privacy, and operational deployment.
8 years of coding experience
5 years of employment as a software developer
Master of Science - MS Computational Science and Engineering, Master of Science - MS Computational Science and Engineering at Technical University of Munich
Chinese Language, Chinese Language at Tsinghua University
Bachelor's degree Applied Mathematics and Informatics, Bachelor's degree Applied Mathematics and Informatics at National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
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