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Skills

Artificial Intelligence, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, Multi-Agent Systems, LLMOps, MLOps, AI Factory Design, AI Solution Architecture, Enterprise AI Architecture, Cloud-Native AI, Edge AI Concepts, Predictive Analytics, Advanced Analytics, Machine Learning, Deep Learning, Reinforcement Learning, Statistical Modelling, Hybrid Modelling, Time-Series Analysis, Self-Attention Models, LSTM Networks, Convolutional Neural Networks (CNN), Natural Language Processing (NLP), Information Retrieval (IR), Semantic Search, Knowledge Graphs, Ontology Engineering, FAIR Data Principles, Data Governance, DAMA-DMBOK, Data Strategy, Data Architecture, Enterprise Data Platforms, Data Engineering, Data Pipelines, Feature Engineering, Prompt Engineering, Embedding Strategies, Vector Databases (conceptual), AI Model Evaluation, AI Ethics & Governance, Responsible AI, Compliance-by-Design, Regulated AI Systems, Secure AI Deployment, AI Risk Management, AI Operating Models, AI Maturity Assessment, AI Transformation Strategy, Digital Transformation, R&D Digitalisation, Industry 4.0, Pharma 4.0, Digital Twins, Simulation Modelling, In-silico Experimentation, Predictive Maintenance, Lab Automation, Intelligent Document Processing, OCR Pipelines, Multimodal AI (implicit), Cloud Platforms (AWS, Azure, GCP), AWS SageMaker, Azure Databricks, Azure Synapse, BigQuery, Snowflake, Distributed Computing, Apache Spark, PySpark, Hadoop YARN, Event-Driven Architecture, Data Mesh (conceptual), API Design, RESTful Services, Microservices Architecture, Scalable Systems Design, CI/CD for Data & AI, DevOps for Analytics, Platform Engineering, Observability for AI Systems, Model Lifecycle Management, Data Lifecycle Management, Metadata Management, Master Data Management, Data Quality Management, Data Standards (CDISC, SEND, HL7, FHIR), Clinical Trial Data Integration, CTMS/eTMF/EDC Integration, Biomedical Time-Series Analysis, Bioinformatics Data Systems, Scientific Computing, Environmental Data Modelling, Sustainability Analytics, Emissions Modelling, Supply Chain Analytics, Logistics Optimisation, Anomaly Detection, Risk Modelling, Forecasting, Demand Modelling, Pricing Analytics, Marketing Analytics, Web Analytics, A/B/n Testing, Multivariate Testing, Sentiment Analysis, Topic Modelling, Customer Behaviour Modelling, E-commerce Analytics, Financial Modelling, Algorithmic Trading (foundational), Quantitative Analysis, Software Engineering, Python, PyTorch, SQL (implicit), Agile Methodologies, Scrum, Scaled Agile Delivery, Product-Oriented Delivery, Data Product Management, Technical Leadership, Principal Engineering Leadership, Executive Advisory, C-Level Advisory, Stakeholder Management, Client Engagement, Pre-Sales Engineering, RFP/RFI Strategy & Authorship, Solution Scoping, Value Proposition Design, Business Case Development, Cost Optimisation, ROI Modelling, Programme Management, Project Management (PMP), Portfolio Management, Change Management, Organisational Design, Operating Model Design, Talent Acquisition Strategy, Talent Retention Strategy, Team Building, Global Team Management, Mentorship, Coaching, Knowledge Management, Technical Evangelism, Public Speaking, Conference Speaking, Thought Leadership, Technical Writing, Standards Authoring, Governance Framework Design, Partnership Development, Vendor Management, Academic Collaboration, Research Management, Innovation Management, Budget Planning, Financial Forecasting, Risk Governance, Cybersecurity Compliance Awareness, Enterprise Systems Integration, SAP S/4HANA (foundational), Salesforce (foundational), UI Component Development (React – foundational), Systems Thinking, Strategic Planning, Decision Framework Design

About

Erfahrener Principal Engineer im Bereich künstliche Intelligenz und generative KI mit über 20 Jahren internationaler Erfahrung in der Entwicklung und Umsetzung von Projekten und Transformationsstrategien mit großer Wirkung, insbesondere in komplexen Sektoren wie Banken, Finanzwesen, staatliche Dienstleistungen, Energie und Logistik. Nachgewiesene Erfahrung in der Leitung von Kundenprojekten aus technischer und strategischer Sicht, die einen Wert von mehreren Millionen Euro (z. B. 70 Mio. €+ bei DSM-Firmenich) und die Entwicklung von KI-Lösungen auf Unternehmensebene (z. B. für Tier-1-Finanzinstitute und globale Konzerne) vorantreiben. Geschickt im Aufbau, Mentoring und Management von leistungsstarken, CH-basierten und globalen KI-Teams, Förderung des Engagements von Stakeholdern auf C-Ebene und Vorreiter bei der unternehmensweiten Einführung von KI. Kombiniert tiefgreifende technische Expertise in der KI-Lösungsarchitektur (LLMs, RAG, MLOps, Multi-Agenten-Systeme) mit starkem Pre-Sales-Scharfsinn und Kundenbeziehungsmanagement, was sich in der Sicherung des Status eines bevorzugten Anbieters und der Leitung von Transformationsprogrammen zeigt. Technischer Evangelist mit 36 Zertifizierungen (PMP, GenAI, AI, etc.) und anerkannter Hauptredner auf über 25 internationalen Konferenzen.