I design solutions that automate document-heavy tasks, learn from procurement patterns, integrate with SAP ecosystems, and deliver transparent analytics — replacing rigid, static workflows with adaptive intelligence.
Designing orchestration layers that bring adaptive intelligence into SAP procurement systems using LLMs, machine learning, and cloud AI platforms. Automating document-heavy tasks through NLP while delivering transparent analytics and spend optimization dashboards.
Deep expertise in SAP S/4HANA MM, Central Procurement, ECC, and SRM. From green/brownfield implementations to process design, customizing, and integration — across Automotive, Manufacturing, Oil & Gas, and more.
Building intelligent agents and sophisticated RAG pipelines with AWS Bedrock Agents, IBM watsonx Orchestrate, LangChain, Haystack, and CrewAI. Production-ready evaluation with DeepEval, massive vector embedding pipelines, and RDF Triple Store integration.
Developing CNNs, deep learning models, and classification algorithms using Python, TensorFlow, Keras, and scikit-learn. Specializing in ML applied to ERP data — from dimensionality reduction (t-SNE/FAMD) to feature selection and SHAP explainability.
Leveraging SAP Joule Studio, AI Agent and Skill Builder, SAP Build, BTP services, BRF+, Flexible Workflow, and Clean Core architecture. Enabling agentic workflows and intelligent integrations within the SAP ecosystem.
Former Senior Manager and People Manager. End-to-end project management with SCRUM and SAFe — requirements analysis, conception, testing, go-live, and hypercare. Cross-functional leadership with up to 9 direct reports.
Helping organisations navigate the fast-moving AI landscape with confidence. I actively track academic research, emerging model capabilities, and enterprise adoption patterns — translating cutting-edge developments into actionable roadmaps. From evaluating which AI investments make sense today to building the organisational readiness for tomorrow, I bring both the technical depth and strategic perspective needed to cut through the hype.