AI & Agentic Systems
LLM workflows, MCP integrations, context management, AI-assisted development, multi-step task execution, and applied prototyping.
AI & Data Strategist / Senior Engineering Consultant
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.
Expertise
LLM workflows, MCP integrations, context management, AI-assisted development, multi-step task execution, and applied prototyping.
Scoring, NLP, clustering, predictive models, healthcare analytics, usage analysis, and decision-support systems.
SQL, ETL, Snowflake, Power BI, reporting, DataOps, data quality, and the governance needed to make analytics usable.
Flutter, Dart, PHP, Java, APIs, cloud-native development, CI/CD, Docker, MLOps, and production-minded architecture.
Selected Work
My background spans executive transformation work, engineering leadership, applied AI and data science, and full-stack product delivery.
Active product
A free IPTV player built to keep core product expectations intact: EPG, casting, AirPlay where supported, and platform-specific UX across mobile and spatial computing targets.
Engineering leadership
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
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
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
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
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
Inrageous Music reflects my passion for music and a personal form of creative expression developed over many years.
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