Senior Specialist · AI & Data · Roland Berger
ViktoriaPatapovich
AI strategist who actually builds.
From boardroom pitch to working solution.
About
The easiest way to understand AI
is to use it
Most companies know AI matters. Few know where to start. At Roland Berger, I work with C-level teams at major companies, helping them turn AI ambitions into real architectures, working solutions, and clear delivery plans.
I don't just advise. I build. AI systems, fine-tuned models, agentic workflows, process automations, data pipelines, analytics tools. I code the solution, walk into the boardroom, demo it live, and hand over something the team can actually use. Years of research gave me technical depth. Consulting taught me how to make it count.
I studied theoretical physics in Belarus, then moved to Munich for computer science. Graduated top 1% of my year. Spent several years after that in R&D, researching quantum machine learning. That scientific foundation shapes how I think about every problem I take on.
1.0
Master's grade
Top 1% of class
200+
People taught AI & QC
Course design & delivery
5
Languages spoken
Fluent in 4
6+
Years in AI & research
From lab to boardroom
Experience
Where I've worked
Roland Berger
Senior Specialist, AI & Data
Own AI/GenAI solution design end-to-end: from architecture and roadmap to working PoC. Present to C-level stakeholders at major industrial and automotive companies. Structure use-case portfolios, run vendor evaluations, and define what gets built next.
Terra Quantum
Senior AI & Quantum Computing Researcher
Led a multi-person research stream on Quantum ML and hybrid optimization. First-authored publications, filed patents. Built and delivered a course on quantum machine learning for 200+ participants across internal and external audiences.
QAR-Lab, LMU Munich
Research Assistant
Built quantum reinforcement learning prototypes for research partners. Contributed to teaching and onboarded new team members in quantum computing.
Projects
Selected work
AI and data engagements for industrial and automotive clients, research publications, and a quantum computing apparel brand. Client names and specifics are confidential.
AI Platform Reference Architecture & Use-Case Roadmap
Defined a reference architecture (data, orchestration, application layers) and integration approach for scalable AI delivery. Prioritized AI use-case portfolio with phased roadmap from MVP to scale.
Profitability Cockpit & Micro-Segmentation
Built an interactive demo combining finance KPIs, drill-down views, and agent-supported insights for proactive steering and opportunity identification.
RFQ / Proposal Acceleration
Designed workflow to reduce manual effort in RFQ handling using document ingestion, retrieval, and assisted drafting with enterprise governance.
Research &
side projects
Superposed Parameterised Quantum Circuits
First-author paper on quantum ML. A new approach to embedding parameterized sub-models in quantum circuits. arXiv:2506.08749, 2025.
Shot-Based Quantum Encoding
Co-authored paper on a data-loading paradigm for quantum neural networks using shot distribution across states. arXiv:2604.06135, 2026.
Quantum Merch
Apparel brand with original quantum computing illustrations. Praised by Peter Shor and Michael Nielsen. Featured in MCQST Quantum Blog.
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