AI & Data Strategist / Senior Engineering Consultant

Digital, data and AI strategy backed by hands-on execution.

I help organizations move from fuzzy digital ambition to working systems: analytics roadmaps, ML prototypes, production data pipelines, agentic AI workflows, cloud-native applications, and the engineering leadership needed to ship them.

20+ years AI, data, BI and engineering
PhD Computer Science
Strategy + Build Roadmaps, prototypes, production systems

Expertise

A generalist by design, technical when it matters.

AI & Agentic Systems

LLM workflows, MCP integrations, context management, AI-assisted development, multi-step task execution, and applied prototyping.

Data Science & Analytics

Scoring, NLP, clustering, predictive models, healthcare analytics, usage analysis, and decision-support systems.

Data Platforms & BI

SQL, ETL, Snowflake, Power BI, reporting, DataOps, data quality, and the governance needed to make analytics usable.

Software & Product Engineering

Flutter, Dart, PHP, Java, APIs, cloud-native development, CI/CD, Docker, MLOps, and production-minded architecture.

Selected Work

Products, platforms and systems I can both define and build.

My background spans executive transformation work, engineering leadership, applied AI and data science, and full-stack product delivery.

Engineering leadership

Cloud, identity and digital platforms at international scale

As Head of Software Engineering at AUF, I led cloud-based platforms supporting a network of 1,000+ universities and up to 15 million users, across SSO, digital libraries, collaboration platforms, messaging, document management and API-connected services.

Digital transformation

Regional programs and multi-stakeholder governance

Directed Central and Eastern Europe projects involving ministries, universities and institutional partners, combining strategic governance with practical delivery for web, mobile, cloud and hybrid event platforms.

AI, BI and healthcare analytics

Predictive models, decision support and regulated data

Delivered machine learning, statistical modeling, data engineering and business intelligence initiatives for healthcare, pharma and risk-scoring contexts, from data preparation to recommendations.

Research foundation

Semantic data, text similarity and knowledge systems

PhD-level work across semantic web technologies, RDF, OWL, SPARQL, text similarity, author disambiguation and intelligent retrieval, forming a durable bridge between research and applied data systems.

How I Work

Useful across the full digital lifecycle.

Frame ambiguous business, product or data problems into a clear technical path.

Prototype fast enough to learn, with enough rigor to avoid dead ends.

Industrialize models, data pipelines, applications and workflows so they survive real usage.

Lead multidisciplinary teams across strategy, engineering, data and delivery.

Creative Work

Music as a long-running creative practice.

Inrageous Music reflects my passion for music and a personal form of creative expression developed over many years.

Contact

For AI, data and digital product conversations.