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Oleg SurkovOS

Oleg Surkov

AI Governance & LLM Evaluation Architect

€580/day
Nuremberg, DE
15+ years

Average response time: 1 hour

About Oleg

I help companies design and operationalize reliable evaluation and validation systems for LLM-driven workflows and AI applications.

My focus is on reproducibility, longitudinal comparability, traceability, and governance-ready reporting for evolving AI systems operating in production or regulated environments.

Typical focus areas:

- LLM evaluation frameworks
- model and prompt drift monitoring
- validation and revalidation workflows
- audit-ready evaluation reporting
- dataset/version management
- workflow reliability and operational traceability
- production Python evaluation pipelines

Typical deliverables include evaluation methodology design, baseline dataset creation with expected-behavior annotations, scoring and aggregation systems, reproducible evaluation runs, and operational validation processes tied to model, prompt, tooling, or workflow changes.


I prioritize pragmatic architectures that preserve longitudinal comparability and operational continuity while avoiding unnecessary rewrites.

My work is especially relevant for AI systems where reliability, governance, auditability, or operational accountability matter.
  • English

    Native or bilingual

Remote only
Primarily works remotely

Experience

  • Independent Consultant (IndrasNet/DLX initiative)
    AI Systems Architect | LLM Evaluation & Reliability
    SOFTWARE PUBLISHING
    March 2022 - Today (4 years and 3 months)
    Nuremberg, Germany
    I build evaluation, validation, and reliability systems for LLM-driven workflows where outputs must remain reproducible, comparable over time, and defensible under audit or risk review.

    My work focuses on longitudinal comparability across model/prompt/tooling changes, evaluator reliability, versioned ground truth, traceability, governance-ready reporting, and drift/revalidation processes for evolving AI systems.

    Typical delivery areas include evaluation methodology design, production Python evaluation pipelines, baseline dataset creation, audit-ready reporting, and operational validation processes for AI systems deployed in regulated or high-assurance environments.
    Risk Management LLM Evaluation Python AI Governance Model Validation
  • Digital Montenegro GmbH
    CEO
    DIGITAL AND IT
    June 2018 - February 2022 (3 years and 8 months)
    Bar, Montenegro
    Led digital business operations and strategic initiatives with focus on structured execution, operational oversight, and scalable process coordination across cross-functional activities.

    Responsibilities included:

    • strategic planning and operational management
    • financial oversight, budgeting, and performance monitoring
    • coordination of partners and external stakeholders
    • process structuring for scalable delivery workflows
    • governance-oriented operational practices across evolving digital environments

    This experience strengthened the operational and governance-oriented approach I now apply to AI/LLM evaluation and validation systems, including reproducibility, traceability, and reliability under changing conditions.
    Business Strategy Risk Management Project Management Business development Operations Management

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Education

  • Master’s Degree in Finance
    Odessa State Economics University
    1998
    Studied Finance and Credit with specialization in public budgeting and securities. The program covered financial systems, capital markets, state budget management, and financial analysis.
  • Postgraduate Studies in Financial Management
    Odessa State University
    2000
    Focused on business administration and financial management, including organizational finance, operational planning, and financial decision processes.

Skill set

Categories