Viktoria Patapovich

AI & Strategy · Roland Berger

ViktoriaPatapovich

AI strategist who actually builds.
From boardroom pitch to working solution.

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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.

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Master's GPA

Top 1% of class

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People taught AI & QC

Course design & delivery

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Languages spoken

Fluent in 4

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Years in AI & research

From lab to boardroom

Experience

Where I've worked

M.Sc. Computer Science LMU Munich 4.0 GPA, Top 1%B.Sc. CS + Mathematics LMU Munich 3.7 GPATheoretical Physics BSU Belarus

Roland Berger

Consultant & Specialist, AI & Data

2025 – now

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

2022 – 2025

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

2020 – 2022

Built quantum reinforcement learning prototypes for research partners. Contributed to teaching and onboarded new team members in quantum computing.

Projects

Things I've shipped

Enterprise AI solutions, research publications, and a quantum computing apparel brand. Client details are confidential.

Deployed
Agentic AI

Enterprise AI Copilot

A multi-agent system that pulls live data from ERP, CRM, and market feeds, then generates scenario analyses and executive summaries on demand. Built for the strategy team of a Fortune 500 manufacturer. Cut their weekly reporting cycle from 3 days to under 4 hours.

In production
GenAI / RAG

Intelligent Document Processing

Automated pipeline that ingests RFQs, technical specs, and contracts, extracts key fields, classifies document types, and drafts structured responses ready for human review. Replaced a manual process that took the sales team 2+ days per request.

Deployed
ML / Analytics

Predictive Quality & Maintenance

Monitors sensor data and production parameters in real time across a factory floor. Flags quality deviations and predicts equipment failures before they happen. Deployed at an automotive Tier-1 supplier. Prevented an estimated 8-figure annual scrap cost.

Research &
side projects

Publication

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.

Side project, 2022–2024

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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