Larysa Visengeriyeva is an AI fellow and software engineer with 13 years of experience at the intersection of machine learning, data engineering, and production-grade software architecture, based in Berlin. She holds a PhD in Augmented Data Quality and has a strong track record translating academic advances in data curation and probabilistic programming into practical MLOps practices and platform designs. As creator of ml-ops.org, the MLOps Stack Canvas and the Awesome-MLOps collection, she shapes practitioner tooling and education for reliable ML systems. Larysa has authored O'Reilly guidance on surviving the EU AI Act and teaches AI-specific software architecture through the iSAQB SWARC4AI module, combining regulatory savvy with engineering pragmatism. She co-founded Women in Defense Tech to bridge European and Ukrainian defense R&D with diverse talent, demonstrating a rare blend of technical depth, policy fluency, and ecosystem building. An experienced conference chair, educator and consultant, she thrives on turning complex data quality and governance challenges into actionable, auditable solutions.
13 years of coding experience
15 years of employment as a software developer
Machine Learning / Natural Language Processing, Machine Learning / Natural Language Processing at LxMLS
Design Thinking, Design Thinking at Hasso Plattner Institute
Machine Learning, Machine Learning at MLSS2016
Dipl-Inf. (FH), Computer Science, Dipl-Inf. (FH), Computer Science at Brandenburg University of Applied Sciences
Probabilistic Programming, Probabilistic Programming at DARPA PPAML 2016
Master of Education (M.Ed.), Computer Science, Master of Education (M.Ed.), Computer Science at South-Ukrainian State Pedagogical University
Contributions:80 commits, 41 pushes, 1 comment in 4 years
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