Semantic engineering & knowledge management

Taxonomies, ontologies, metadata and data standards, semantic search and knowledge platforms.

50 contributions across 6 experiences

Where this skill was applied

Often together withAI governance, risk & regulatory compliance Data architecture, engineering & governance Machine learning, deep learning & MLOps Solution & enterprise architecture Data Strategy for AI Generative AI & LLM solutions

2002–201112 contributions

United Nations CGIAR

Coordinated a network of content and data providers in 20+ regional offices worldwide, enabling knowledge sharing and collaboration across the UN system.
Led enterprise SharePoint programmes (2003–2010 editions), delivering governance, templates, workflows and institutional training.
Designed a new data governance framework for the UN agency IPGRI (International Plant Genetic Resources Institute), aligned with DAMA and applying ISO/IEC 27001 principles, setting data-management standards for global agricultural research.
Designed the R&D bioinformatics data standard “Darwin Core Germplasm”, extending the Darwin Core international standard for agrobiodiversity analytics, presented at the Biodiversity Information Standards (TDWG) conference 2010 in Woods Hole, USA.
Designed and managed 40+ institutional knowledge-management platforms — intranets, repositories, websites and scientific databases — and rationalised them into about a dozen governed platforms under common taxonomy, metadata and governance standards.
Led global initiatives across digital, data science, knowledge management and bioinformatics, progressing from Multimedia Web Specialist to Digital Unit Head with responsibility for strategic planning and implementation.
Built partnerships with universities, vendors and research institutes in data science, digital transformation and business intelligence.
Collaborated on international data-analytics projects on genomic datasets and global ontologies (PlantGDB, GBIF, AGROVOC, AIMS, Dublin Core).
Developed digital tools and methods for genetics and omics research for food production, including federated access, SOA services, RESTful applications and data standards.
Developed a digital crop-identification platform combining taxonomies, scientific datasets and AI-assisted recognition for agricultural biodiversity research.
Developed data-visualisation portals for Asian tropical fruits and other agricultural datasets, launched in Tashkent (Uzbekistan) to support research in Central Asia and developing countries.
Designed and developed “Information Finder”, a semantic-search portal for crop datasets and genetic material for agrobiodiversity and food-production research, launched at IFPRI in Washington DC.

2019–202411 contributions

DSM-Firmenich

Steering Committee member of the Corporate Research Program for Digital Transformation; co-authored the 2019 Digital Aiming Points for the global R&D digital strategy and contributed to the HR Talent Acquisition and Retention Strategy.
Founded and led the Digital Hub in Poland, an agile, start-up-like AI research group with proven cost savings of €650,000 per year, and designed its Talent Acquisition Strategy for Digital and Data Science with retention guidelines, cutting AI team turnover by 80%.
Pioneered an AI hybrid digital twin predicting unintended manufacturing-plant shutdowns that reduced downtime by 48% and earned the Best DSM Corporate Research Project award, using deep learning (LSTM, self-attention) on 768 real-time sensor streams and LLMs (GPT-3.5, Llama 2) in LangChain for maintenance-log interpretation.
Ideated and led research on an AI digital twin modelling the statistical distribution of sun-cream UV filters on skin, aiming to replace in-vivo experiments with digital solutions — a projected value of €30M+ per year.
Led global knowledge management and community building, coordinating the authoring of 1,000+ pages of lab R&D content with AI.
Coordinated international Corporate Research Program (CRP) activities in Digital Transformation and the Digital Twin Lab — agile pilots for digital disruption, competence development and continuous improvement.
Led an information-retrieval project governing millions of lab documents with NLP and transformers (BERT, GPT) for keyword extraction and synonym generation, plus an ontology integrated with public data sources to improve research data interoperability.
Designed the data governance strategy for R&D and manufacturing on the DAMA Body of Knowledge, with policies, FAIRness guidelines, quality standards and data stewardship aligned to the corporate digital strategy.
Developed the global strategy for adopting clinical-trial data standards, extending CDISC-SEND to animal nutrition research to enable rapid submission of results to the FDA.
Managed collaborations with Contract Research Organisations (CROs) for digital projects, establishing strategic partnerships for external AI/ML development and research.
Created and coordinated a network of European academic partnerships for research in digital technologies applied to DSM business and marketing cases.

20267 contributions

Gavi, the Vaccine Alliance

Leads AI enablement through a three-tier training architecture, a curated prompt library, an intranet AI Self-Service Hub and an organisation-wide AI Community of Practice with departmental champions — targeting 80%+ awareness-training completion and 70%+ monthly active Copilot users in year one.
Covered visitor and case lifecycles, category taxonomies, referral routing and service metrics under hard confidentiality controls — an immutable audit trail, a strict “Chinese wall” between functions, visitor numbers with no names stored and a <5 anonymisation threshold on all reporting — modelled in C4 and validated by an independent penetration test before go-live.
Coordinated architecture-board acceptance of the Governance Bot: a permission-aware knowledge assistant for audit-committee, board and governance-decision queries in Teams and SharePoint on Azure AI Foundry, with an eight-metric production-approval framework — answer accuracy ≥90%, citation coverage 100%, fallback precision ≥95%, access-control integrity 100% — so an AI service is not approved on technical completion alone.
Skills and technologies: Azure solution and security architecture (App Service, Static Web Apps, Functions, SQL, Blob, Key Vault, API Management, Data Factory, Machine Learning, AI Foundry, AI Search, Monitor) · Snowflake · Azure OpenAI, RAG, multi-agent and agentic AI · MLOps/LLMOps and AI evaluation · AI governance, Responsible AI and EU-aligned AI risk management · Entra ID, RLS, TDE/CMK, PIM, managed identities, TLS · C4 and TOGAF · Power BI, Power Platform, Copilot Studio, Purview, Sentinel · confidential-data governance · innovation portfolio governance, vendor selection and procurement · Design Thinking and rapid prototyping facilitation.
Maintains the Innovation Lab vendor capability matrix, benchmarking six global delivery partners across five domains — AI & Machine Learning, Blockchain & Digital Assets, Immersive & Emerging Tech, Automation & Data, Research & Innovation — as the mandatory input to external-executor selection.
Established the reusable reference architecture for grounding Copilot agents in enterprise knowledge — SharePoint → Azure Blob → Snowflake → Azure AI Search vector index → Power Automate → Azure OpenAI → Copilot in Teams/SharePoint — secured with Entra ID RBAC, Key Vault and Purview DLP, with mandatory citation traceability and token-consumption cost controls.
Defined a multi-tier Governance Copilot ecosystem separating the user-facing Governance Bot, a Governance Knowledge Hub and a Power Automate + Azure OpenAI Query Executor, with Azure Blob ingestion, Azure AI Search vector indexing, Entra ID single sign-on and Azure Monitor / Log Analytics monitoring of latency, token usage and errors.

2012–20135 contributions

United Nations

Directed the integration of research data from 1,260 institutes worldwide through GBIF, spanning 358 taxonomies and ontologies, for analytics, reporting and scientific insight.
Built semantic data-integration components harmonising agrobiodiversity datasets with global ontologies for multi-agency use.
Established a corporate taxonomy and knowledge-management framework for UNCCD (Protégé, OWL), strengthening discoverability, semantic interoperability, information governance and institutional knowledge reuse.
Applied time-series and dimensional modelling, including slowly changing dimensions, to real-time IoT and environmental sensor data.
Coordinated communities of practice and regional offices to scale analytics capabilities, data literacy and collaboration, and supported the application of the Dublin Core (DCMI) taxonomy to publications.

2024–20254 contributions

EPAM Systems

Global agribusiness and food company, Switzerland: defined the GenAI strategy for shipping and transport optimisation, structuring 18+ use cases (laytime calculations, contract analysis, chartering risk mitigation) with OCR, NLP, LLMs and knowledge graphs.
Global pharmaceutical company: principal expert (GenAI, architecture, software engineering) supporting the AI Factory framework and global AI strategy; defined a reusable AI component framework and LLM/multi-agent orchestration for biomedical R&D and regulatory processes, and a global Community of Practice for AI knowledge sharing.
Global chemical manufacturer: lead architect for GenAI in R&D, engineering and production — semantic ingestion pipelines, RAG over structured and unstructured data, and a phased path from PoCs to multi-agent assistants on a modular, scalable architecture.
Prepared AI, data and analytics platforms for internal audit, client assurance, regulatory review and quality inspections with evidence repositories, control matrices, validation records and governance documentation.

20181 contribution

Fair Trade Handels

Led data governance on the DAMA Body of Knowledge framework, ensuring compliance with GDPR, SOPs, GMP and GCP.

Profile6 contributions

Across the career

Works across clinical-trial data strategy, TMF metadata, CTMS, eTMF, EDC integration, clinical time-series and regulated data ecosystems, partnering with Contract Research Organisations (CROs) to align clinical-trial data with CTMS, eTMF and EDC systems.
Applies ontology engineering, FAIR governance, knowledge graphs and structured metadata practices to improve scientific data interoperability.
Specialises in taxonomy governance, ontology development, metadata standards, information architecture and institutional knowledge reuse.
Converts complex organisational knowledge into structured, searchable, governed and reusable information assets.
Designs scientific data ecosystems combining semantic search, ontology integration, knowledge management and global biodiversity datasets.
Applies semantic engineering — controlled vocabularies, OWL ontologies, multilingual taxonomy mapping — to improve discoverability, interoperability, harmonisation and reuse of complex research datasets.

Skills4 contributions

Skills & applied knowledge

Advanced TYPO3 and Drupal engineering for enterprise-grade scientific, institutional and knowledge-management platforms.
Digital commerce, content management, web publishing, digital marketing, funnel analytics, marketing automation, lead generation, programmatic advertising, remarketing, data-management platforms, tag management, data layers, paid search and digital advertising.
Knowledge-management and semantic-AI methods: taxonomy, ontology, graph neural networks, semantic analysis, sentiment analysis and natural-language processing.
Architecture of scientific-data semantic-search systems using REST, SOA, metadata brokers, ontology-driven indexing and semantic retrieval.

All skills

Artificial intelligence

AI governance, risk & regulatory compliance 81 Machine learning, deep learning & MLOps 53 Data Strategy for AI 44 Generative AI & LLM solutions 43 Agentic AI & AI-native engineering 29

Architecture & data platforms

Solution & enterprise architecture 62 Data architecture, engineering & governance 54 Semantic engineering & knowledge management 50 Cloud & multi-tenant SaaS platforms 41

Leadership & business

Innovation & change management 42 Team leadership & talent development 31 Business value & financial management 29 Programme, project & vendor management 27 Executive advisory & pre-sales 19 Entrepreneurship & venture building 13

Product, marketing & communication

Digital marketing & customer analytics 27 Product & full-stack engineering 23 Communication & thought leadership 10