Koen Dercksen
AI engineer & full-stack developer
AI engineer and full-stack developer with a background in academic research and practical implementation. Specialized in natural language processing, information retrieval, and building production-ready applications. I bridge the gap between cutting-edge research and real-world business solutions, focusing on practical implementations that deliver measurable value.
Featured projects
Multi-agent environment
2025Built a custom chat environment with multiple LLM agents for a financial sector client, including a custom API backend.
- Developed custom LLM API layer in Python enabling observability and smart caching
- Configured and deployed multi-agent chat environment
- Integrated with client's existing infrastructure
Client monitoring & news classification system
2025Created an automated monitoring tool for a financial sector client that scrapes news nightly and detects relevant events regarding their client base.
- Automated nightly news scraping across multiple sources
- Built intelligent classification system for detecting insolvencies and noteworthy news
- Reduced manual monitoring time significantly
- Enabled early detection of client-related risks
Email generation & automation pipelines
2025Implemented multiple email generation and automation workflows for various clients using modern automation tools and LLMs.
- Created automated email workflows integrated with CRM systems
- Implemented LLM-powered personalized email generation
- Built scalable automation pipelines for marketing and customer communication
SimpleRad
2023Developed a web-based viewer for simplified radiology reports as part of PhD research, making medical text more accessible to patients.
- Implemented automated medical text summarization
- Built entity annotation and recognition system
- Created entity description search functionality
- Designed patient-friendly interface for complex medical information
Recent experience
Freelance AI engineer & full-stack developer
avirai • Netherlands
Providing practical AI solutions and full-stack development services for various clients, ranging from complete custom software systems to strategic planning and prototyping.
Chief Technology Officer (CTO)
World Brain Scholar • Amsterdam / Paris (Remote)
Designed, built, and deployed into production Eliza, an AI-powered peer review platform aimed at academic publishers.
Skills
AI & machine learning
Full-stack development
DevOps & infrastructure
Databases & ORMs
Integration & automation
Education
PhD in Computer Science
2019 - PresentRadboud University • Nijmegen, Netherlands
Specializing in natural language processing and information retrieval for medical text simplification
MSc in Data Science
2017 - 2019Radboud University • Nijmegen, Netherlands