Andreas van den Boogaard

Conversation Designer | GenAI Engineer

Professional Summary

Conversation Designer transitioning into GenAI Engineering with hands-on experience in conversational AI systems. Passionate about building intelligent systems using RAG, LLM fine-tuning, and agentic architectures. Strong foundation in natural language understanding and user-centric design combined with growing technical expertise in Python, LangChain, and modern AI frameworks.

Technical Skills

GenAI & Machine Learning

LangChain RAG Systems PyTorch Fine-tuning Agentic AI

Programming & Development

Python JavaScript HTML/CSS Tailwind CSS Git

Conversation Design & NLU

Conversational AI NLU Chatbot Design User Experience

Work Experience

GenAI Engineer (Transitioning)

Self-Directed Learning

2024 - Present
  • Building expertise in RAG systems, fine-tuning LLMs, and agentic AI architectures
  • Developing portfolio projects showcasing conversational AI capabilities
  • Creating full-stack GenAI applications using Python, LangChain, and modern frameworks
  • Studying advanced topics in machine learning and natural language processing

Conversation Designer

Independer

2023 - 2024
  • Designed conversational experiences for AI-powered customer service systems
  • Collaborated with developers to implement natural language understanding flows
  • Conducted user research to optimize conversational interfaces
  • Developed and maintained conversation design documentation and guidelines

Previous Role/Position

Company Name

2022 - 2023
  • Add your responsibilities and achievements here
  • Include specific metrics and outcomes where possible
  • Highlight relevant skills and technologies used

Education

Your Degree/Certification

Institution Name

Year

Additional details about your education, major achievements, relevant coursework, etc.

Key Projects

Project Name

Brief description of the project, its purpose, and impact. Include the problem you solved and the technologies used.

Technology 1 Technology 2 Technology 3

For detailed project descriptions and demos, visit the GenAI Projects page.

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