Larysa Visengeriyeva

AI Fellow at iSAQB® – International Software Architecture Qualification Board

Berlin, Germany
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Summary

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Rockstar
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Top School
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.
code13 years of coding experience
job15 years of employment as a software developer
bookMachine Learning / Natural Language Processing, Machine Learning / Natural Language Processing at LxMLS
bookDesign Thinking, Design Thinking at Hasso Plattner Institute
bookMachine Learning, Machine Learning at MLSS2016
bookDipl-Inf. (FH), Computer Science, Dipl-Inf. (FH), Computer Science at Brandenburg University of Applied Sciences
bookProbabilistic Programming, Probabilistic Programming at DARPA PPAML 2016
bookMaster of Education (M.Ed.), Computer Science, Master of Education (M.Ed.), Computer Science at South-Ukrainian State Pedagogical University
languagesEnglish, German, Ukrainian
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Github Skills (40)

data-science10
data-mining10
machine-learning10
ml10
mlops10
deep-learning10
privacy-preserving10
federated-learning10
ai10
devops10
data-cleaning9
data-mesh8
machine-learning-models8
iaas7
paas7

Programming languages (9)

JavaBatchfileTeXScalaJavaScriptHTMLRoffJupyter Notebook

Github contributions (5)

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visenger/DataGuards

Aug 2014 - Aug 2018

Contributions:80 commits, 41 pushes, 1 comment in 4 years
innoq/ml-ops.org

Mar 2020 - May 2022

ML Ops Microsite
Contributions:163 commits, 3 PRs, 157 pushes in 2 years 2 months
mlops
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