Rutger (H.) Boels-Managing Director
Check rate
Experience
Partner & Managing Director
AI.IMPACT
- Building an AI & Data Consultancy Practice with the goal of helping European companies adopt Artificial Intelligence and modern data platforms
- End-to-end further development of a production system using modified coding agents (OpenCode). Tech stack: Kubernetes, Argo, Keycloak, Typescript, Grafana, GitOps, DevOps, Playwright
- Internal research project on the use of coding agents in the field of mathematical logic for creating formal models. Use of Cursor IDE and Codex, Codex CLI. Architecture design, quality control and refactoring, as well as writing code and tests. Repository (open source) available pre-launch
- Research on the role of mathematical logic as a formal language that connects IT and AI with business processes
- Project lead for collecting and deploying parking recommendations for rail vehicles with significant savings potential based on real-time data in a mobility and transport company
- Project lead for collecting and distributing process measurement points for real-time control in a mobility and transport company
- Deputy application owner for an app used for communication in the dispatching and provision of rail vehicles
Senior Data Scientist / Lead Data Scientist / Senior Manager Data Science
Eraneos
- Project lead for parking recommendations to save energy in a mobility and transport company
- Project worker for the use of AI to analyze train radio conversations
- Coordinator for a project to improve the code quality of central dispatch software at a railway infrastructure company in Germany
- Project lead for use case ideation in production at a regional mobility and transport company
- Team lead and Data Scientist for material demand forecasting for the maintenance of rail vehicles
- Data Scientist for analyzing time series on the condition of wheel disks based on track-side measurement systems
- Data Scientist in the field of wheelset lifecycle management at various mobility and transport companies
- Data Scientist for analyzing technical documents for trains at a mobility and transport company
- Data Scientist for analyzing procurement documents at a mobility and transport company
- Team lead for object detection at accident sites with the help of drones at a large aerospace research center
Lead Data Scientist
Ramboll Management Consulting
- Building and leading a Data Science practice as a corporate startup within a large multinational engineering and management consulting company
Junior Professor and Researcher
Universität Hamburg
- Internationally recognized researcher in theoretical particle physics, with publications in leading journals
- Speaker at international workshops, conferences and seminars worldwide
- Lecturer in bachelor’s and master’s degree programs at the University of Hamburg
- Group leader of an independent research group with researchers, PhD candidates, and bachelor’s and master’s students; supervision of two doctoral theses
Postdoctoral Researcher
Niels Bohr Institute
- Research in theoretical particle physics
- Development of a framework for higher-dimensional spinor helicity
Postdoc
University of Oxford
- Research in theoretical particle physics
Doctoral Researcher
University of Amsterdam
Research into theoretical high energy physics
Senior AI Engineer
AI.IMPACT
- Agentic RAG semantic search platform: End-to-end design and deployment of a semantic search chat application under strict inference-budget, p90 latency and answer-quality requirements. Hybrid retrieval strategy (open-source LLMs + task-specific models), sub-agent architecture, semantic caching (0.90 threshold) and structured memory management — 60% reduction in employee search time, validated with the RAGAS framework.
- Intelligent document ingestion & traceability: Built an AI-supported system for automatic extraction and linking of requirements from heterogeneous stakeholder documents (PDF parsing, state-of-the-art layout detection for unstructured content). Automated change detection and versioning — replaced manual data entry and strengthened data quality in process-critical workflows.
- Containerised microservice deployments: Delivered RAG and ML pipelines as Docker-based microservices on the in-house server platform — scalability, reliability and smooth production operations for enterprise user groups.
- Predictive ML pipelines: Built structured ML pipelines (data cleaning, statistical analysis, feature engineering, model development and evaluation) for predictive monitoring applications — over 90% predictive accuracy, containerised deployment.
- Embedded ML & patents: Designed a lightweight ML model (<500KB ROM, <50KB RAM, >98% accuracy) compliant with EURO NCAP standards — contributions led to 3 granted patents in Germany.
Industry Experience
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Experienced in Education, Transportation, Professional Services, Aerospace and Defense, and Information Technology.
Business Area Experience
See which departments and functions this freelancer has contributed to most.
Experienced in Research and Development, Operations, Quality Assurance, Business Intelligence, Information Technology, and Procurement.
Summary
I have built AI and data consultancy practices focused on helping European companies adopt modern data platforms and artificial intelligence. I combine hands-on experience in real-time data projects in the mobility and transport sector with solid analytical skills gained over years of research in theoretical physics. My work spans developing cost-saving process recommendations and real-time control systems to coordinating teams in data science. I thrive on turning complex analytical challenges into practical solutions that improve operational efficiency.
I am an expert on real-world AI. I have personally refactored, developed and deployed applications using coding agents for clients. My current drive is to update software architecture for formal systems in the age of AI.
Focus on Agentic RAG, enterprise semantic search and translating operational challenges into scalable, agent-based architectures under strict inference-budget, latency and answer-quality requirements.
Skills
Programming Languages
- Python
- (Typed) Racket
- Redex
- C/C++
- Agda
- Coq/Rocq
- Sql
Tools / Technology
Cursor
Codex
Openai
Anthropic
Kubernetes
Argo
Docker
Maven
Playwright
Openapi
Asyncapi
Scikitlearn
Mpi
Azure Language Studio
Ms Copilot Studio
Aws
Rds
Power Bi
Qlik
Gitlab
Visual Studio Code
Jira
Ms Office
Command Line Fu
Programming: Python, Fastapi, Flask, Matlab
Ai Orchestration & Agents: Langchain, Langgraph, Hf Transformers, Spacy, Agentic Rag, Sub-Agent Architectures, Semantic Caching, Ragas (Evaluation)
Ml & Deep Learning: Pytorch, Tensorflow, Keras, Scikit-Learn, Gradient Boosted Trees
Hybrid Knowledge Storage: Milvus, Qdrant, Pinecone, Postgresql, Azure Ai Search, Sql
Big Data & Workflow: Pyspark, Mlflow, Prefect
Cloud & Devops: Ms Azure, Docker, Gitlab Ci/Cd, Portainer, Git, Mlops
Visualisation: Streamlit, Plotly, Dash, Tableau
Languages
Education
University of Amsterdam
PhD candidate · Theoretical Particle Physics · Amsterdam, Netherlands
Statistics
Experience
Global Experience
Expertise
Qualifications
Profile
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