Hi, I'm Christopher.

Founder of Intellineers, AI consultant and platform engineer from Hamburg. I help companies not just understand AI — but get it into robust production.

My Background

I hold a Master of Science in Artificial Intelligence and have been working at the intersection of software engineering and machine learning for over a decade. My path started in research — working with neural networks before deep learning went mainstream — and led through enterprise projects across diverse industries to what Intellineers is today.

What drives me: I see the gap between what AI can theoretically do and what actually works in companies every day. Too many projects get stuck at the prototype stage. Too many consulting engagements end with a PowerPoint instead of a running system. At Intellineers, I build the bridge — from strategy to deployment.

What I Bring

AI & Machine Learning

From classical ML through deep learning to modern LLM architectures — I know the technology not just from tutorials, but from production systems with real traffic.

Platform Engineering

Kubernetes, CI/CD, Infrastructure as Code — I build the platforms that keep AI systems running reliably. From a single server to multi-cloud setups.

Strategic Consulting

Not every problem needs AI. And not every AI needs GPT. I help with the honest assessment of what makes sense — and what doesn't.

Implementation

I don't deliver slides — I deliver code. Prototypes that become MVPs. Systems that run in production. With my network of specialized experts, I scale larger projects too.

My Approach

Intellineers is deliberately lean. I work directly with my clients — no account managers in between, no bloated project teams. For larger projects, I tap into a network of experienced freelancers and specialists, some of whom I've worked with for years.

That means: you always talk to the person who actually does the work. Short paths, fast decisions, no overhead.

How I Work

01

Understand

Listen, ask questions, truly understand the problem. Not every AI project should be an AI project.

02

Assess

Technical feasibility, data foundation, ROI potential — an honest assessment before budget flows.

03

Build

Iteratively, with fast feedback cycles. From proof of concept to MVP to production.

04

Enable

Knowledge transfer, documentation, training. My goal is that you eventually don't need me anymore.

Technologies

PythonTypeScriptGoPyTorchTensorFlowLangChainLlamaIndexOpenAIAnthropic ClaudeHugging FaceKubernetesDockerTerraformAWSAzureGCPPostgreSQLRedisQdrantMLflowGitLab CIGitHub ActionsPrometheusGrafana

Let's talk

Have a project in mind or want to assess whether AI makes sense for your use case? I look forward to hearing from you.