Віра

Vera Voloshchuk
AI Tools Tester / AI Research Assistant / Prompt Engineer

📧 email: [відкрити контакти](див. вище в блоці «контактна інформація»)
tel: [відкрити контакти](див. вище в блоці «контактна інформація»)
YouTube: www.youtube.com/@QCinemaLab

PROFILE

Analytical AI systems tester with hands-on research experience in generative video models (VEO
3.1 fast, Google Flow, Meta AI, Sora 2). Specialized in single-shot scene testing, mirror reflection
causality (real-time synchronization), gesture stability, end-of-sequence degradation, and prompt-
driven behavior analysis. Combining engineering mindset, QA methodology, and experimental
R&D. Seeking a role in AI Tools Testing, AI Research Assistant, or Prompt Engineering.

CORE SKILLS

 AI tools testing (generative video & multimodal models)
 Model behavior analysis
 Test scenario design (controlled single-shot scenes)
 Prompt engineering as a research method
 Bug detection: mirror desync, involuntary blinking, prop-intent bias, end-of-shot degradation
 Experiment documentation & reporting
 QA mindset, analytical reasoning
 Wrapper vs engine behavior comparison (e.g. Flow vs VEO)

AI PROJECTS / INDEPENDENT R&D

AI Video Systems Testing & Analysis – Personal Research (YouTube)
2025 – Present:

 Comparative testing of VEO 3.1 fast, Google Flow, Meta AI, Sora 2
 Real-time mirror synchronization and causality testing
 Single-shot scene design to force coherent motion and intent
 Identification of wrapper effects (different behavior under the same engine)
 Stability testing of gestures, micro-movements, and end-of-shot quality degradation
 Artifact detection: involuntary blinking, reflection desync, gesture repetition
 Prop-driven intent bias analysis
 Iterative prompt testing and result documentation
 Publishing video-based case studies demonstrating model behavior
PROFESSIONAL EXPERIENCE

Technical Support – Internet Service Provider

 End-user technical support
 System and network issue diagnosis
 Ticketing, escalation, collaboration with technical teams

EDUCATION

BEng – Optical Instruments Engineering
(engineering thinking, system precision, analytical approach)

Software Testing Course (2017)

 QA fundamentals, test cases, bug reporting, test design basics

LANGUAGES

 Polish – fluent
 Ukrainian – native
 Russian – native
 English – B2+