Koen Bonenkamp
Full stack AI engineer
About
"If you can't explain it simply, you don't understand it well enough." – Albert Einstein
Agentic AI will deeply impact every industry and understanding how to leverage it effectively is crucial for staying competitive. I help organizations implement ánd understand AI.
Language models and AI agents, although very powerful, are still hard to implement reliably. I specialize in building robust, secure and consistent AI systems that deliver measurable value.
Services
AI engineering
Implement end-to-end and secure AI solutions, from model training and prototyping to production deployment.
Strategic advisory
Helping leadership teams to understand the impact of AI on their business and work towards a strategy and actionable roadmap.
AI assisted development
Working with tech teams to effectively leverage AI assisted coding to increase velocity, security ánd maintainability.
Tech due diligence
Support investors in making fact-based investment decisions by analyzing the technology and product value chain of tech startups.
Skills
Full Stack AI development
- Comfortable working across the entire stack, from data engineering and model development to backend and frontend web development.
- Implementing AI at the model, application and infrastructure level.
Team management
- Defining the tech strategy and roadmap.
- Deciding about architecture, technology stack and tools.
- Leading teams of 5-30 engineers to deliver high-quality software & data science solutions.
- Mentor junior engineers, conduct code reviews, and uphold engineering best practices.
Consulting
- Got my first experience as a technology consultant at IBM.
- Worked with stakeholders in very diverse industries ranging from biotech, aviation, healthcare, finance, retail to government.
- I love to communicate ideas clearly without jargon and to stay away from vague buzzwords.
Certified Cloud Engineer
- An Associate Cloud Engineer deploys and secures applications, services, and infrastructure, monitors operations of multiple projects, and maintains enterprise solutions to ensure that they meet target performance metrics.
- This individual has experience working with public clouds or on-premises solutions.
- They are able to perform common platform-based tasks to maintain and scale one or more deployed solutions that leverage Google-managed or self-managed services on Google Cloud.
- 10+ years of experience with cloud platforms including GCP, AWS and Azure.
Technologies
Large language models
LLM training & fine-tuning
Open source local models
Langchain
ADK
MCP server development
GCP
Azure
AWS
Tensorflow
PyTorch
(AI) security
(GenAI) OWASP top 10
Python
Docker & Kubernetes
Next.js
Vue.js
Svelte
TypeScript
Deno, Node.js & Bun
MongoDB
MySQL
Redis
Education
Master in Artificial Intelligence
Major in machine learning, neural networks and computer vision. A significant part of the education involved developing AI models from scratch.
Contact
| Email: | [email protected] |
| Phone: | +31 617 437 690 |