Turn your AI prototype into a production system
Bridging the gap between POC and enterprise-ready AI
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Is your AI proof-of-concept stuck in demo mode?
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Struggling to integrate RAG systems with your existing infrastructure?
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Need someone who's shipped production AI at scale?
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Looking for enterprise-grade reliability, not weekend demos?
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Want your team to own the system after handoff?
About me
Hi! I'm Nadir, a freelance AI engineer from the Netherlands. I work with scale-up companies struggling to move AI prototypes into production. Teams overwhelmed by the complexity of enterprise integration. Leaders who see the potential of RAG and LLMs but need someone who's done it before.
That's where I make the difference.
I build production-ready RAG systems that integrate seamlessly with existing enterprise infrastructure—not weekend demos, but systems designed for real workloads. My portfolio includes an AI Executive Assistant with advanced RAG techniques (contextual retrieval, reciprocal rank fusion) and an automated security policy generator.
With 4+ years at Picnic building event-driven architectures and experience at Booking.com scaling search for millions of users, I bring enterprise-grade engineering to AI implementations.
Why work with me?
Here's what sets me apart and how I can help drive value for your business:
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Enterprise Experience
I've built systems at Booking.com (serving millions) and Picnic (event-driven architecture at scale). I understand what it takes to ship production systems that don't break at 3 AM.
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POC to Production
Most AI POCs never make it to production. I specialize in bridging that gap—taking your prototype and turning it into an enterprise-grade system your team can rely on.
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Full Stack AI
From vector databases to API design to deployment. I handle the entire stack: Python, FastAPI, OpenAI, pgVector, LangChain, PostgreSQL, TypeScript, and Docker.
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Clean Handoff
I build systems designed for your team to own. Comprehensive documentation, training sessions, and architectures that are maintainable long after the engagement ends.
My tech stack
Python FastAPI OpenAI API RAG pgVector LangChain Celery PostgreSQL TypeScript Docker
Frequently asked questions
How quickly can you start working on my project?
I can typically begin new projects within 1-2 weeks of contract signing. For urgent matters, I maintain some flexibility for rapid response situations and can potentially start sooner—just let me know your timeline during our initial consultation.
Do you require a minimum project size or commitment?
I find that engagements of at least 2-4 weeks allow for meaningful impact. This gives us enough time to understand your infrastructure, implement solutions, and deliver production-ready results. We can start with a discovery phase to ensure we're a good fit.
What's your typical engagement model?
I work on project-based engagements where I lead architecture and client relationship while my team handles implementation. This gives you senior-level expertise with the throughput of a small team.
How do you handle data security and confidentiality?
I take data security seriously. I sign comprehensive NDAs before starting any project, use enterprise-grade encryption for all data transfers, and follow industry best practices for data handling. I can work within your existing security infrastructure and policies.
What industries do you have experience in?
I've delivered projects in e-commerce (Booking.com, Picnic), with a focus on search systems, event-driven architectures, and now AI/RAG implementations. My fundamentals apply across sectors—if you're building AI systems that need to scale, we should talk.
How do you communicate progress and results?
Clear, async-first communication. Weekly progress updates, regular check-in calls when needed, and detailed documentation. You'll never be in the dark about where things stand.
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Let's have a virtual coffee together!
Want to see if we're a match? Let's have a chat and find out. Schedule a free 30-minute intro call to discuss your AI challenges and explore how we can work together.