Dr. Larysa

Experience and Qualifications

Larysa V. holds a PhD and is an expert in data quality and machine learning operations.
This background sharpens her ability to recognize systemic interrelationships.
Larysa brings solid practical experience in the data and AI domain and operates at the intersection
of technology, organization, and productive implementation.
Her strength lies in cleanly structuring requirements, clarifying expectations transparently,
and ensuring results through clear communication and reliable processes—an essential success factor
in data‑driven and organizational transformation initiatives.
In her current work, she applies these competencies to topics such as data and AI strategies,
quality requirements in machine learning systems, and organizational development processes
in digital contexts.

Personal Philosophy

Larysa believes that technology should support people, not replace them.
Data and AI are tools for value creation and responsible problem‑solving.
She places great importance on quality, transparency, and traceability so that technical systems operate reliably
and decisions remain understandable.
From her perspective, learning and development are key drivers of change.
Structure and clarity provide the framework in which new competencies can emerge.
Innovation should be pragmatic and responsible. Progress is important, but it must also consider ethical
and organizational consequences and aim for sustainable impact.

Personal Style

Building a widely used knowledge platform that makes machine learning operations accessible to companies and professionals,
significantly contributing to the professionalization of AI projects.
Author of

The AI Engineer’s Guide to Surviving the EU AI Act
,
a practical book that explains regulatory requirements in an understandable way and provides concrete guidance
for implementing AI projects.
Through her work at the intersection of science and practice, she has translated complex AI and data strategies
into application‑oriented solutions and supported organizations in shaping sustainable data‑driven innovation.
Her commitment to responsible AI and quality‑driven data strategies shapes the discussion on modern machine
learning systems and makes her a sought‑after voice within the professional community.

Special Achievements

Larysa conveys content in a practical and easy‑to‑understand way, with a clear focus on learning outcomes and applicability.
Her style is open and dialogue‑oriented, while always keeping the learning process in view.
Questions and exchange are explicitly encouraged by Larysa.
Her trainings are designed to be hands‑on and transferable, enabling participants to apply their knowledge directly in their professional work.

Certifications and Accreditations

Accreditations Trainer für:

Certifications: