Understand AI. Integrate it. Use it.

I help companies not only develop machine learning solutions, but also integrate them meaningfully into existing software and cloud architectures.

Whether it’s classical ML or deep learning – I support the entire process:
from problem definition and prototyping to production-ready APIs.

Thanks to my many years of experience in software development (.NET, Azure, integration), I focus on ensuring that AI doesn’t stay in the lab – but works reliably, transparently, and in real-world systems.

What I Build – AI in Action

As a freelance AI engineer, I specialize in building tailored solutions that solve real problems. Below are two areas where I’ve delivered strong results – and which I now offer as ready-to-adapt templates or starting points for your own use case.

Let’s adapt one of these solutions to your use case – or start from scratch if you need something new. My goal is to bring useful AI into real-world systems, not research demos.

Detect unexpected behavior, failures, or outliers in industrial systems, sensor logs, or image data. My pipeline is built to be modular, explainable, and ready to extend to your specific context.

Anomaly Detection

Build smart, personalized product or content recommendations using collaborative filtering, metadata, or hybrid methods. All grounded in practical models and transparent logic – no black boxes.

Recommendation System (coming soon)

Why Work With Me?

With over 20 years in software development and a deep focus on modern AI systems, I combine technical excellence with real-world pragmatism. I don’t just build models – I deliver working solutions that integrate with your workflows and are ready to scale.

🎓 Deep AI Expertise

From classic ML and to transformer-based systems – I build solutions that are grounded in best practices and tested on real data.

🤝 Seamless Team Integration

I’m used to joining dev or data teams mid-flight, contributing without friction, and taking ownership where needed – remote or hybrid.

🚀 Fast Prototyping, Real Deployment

I deliver early results quickly – and stick around to help with MLOps, infrastructure, and deployment if needed.

How I Work – Tools & Technologies I Use

Over the past years, I’ve worked across the full AI/ML lifecycle – from prototyping in notebooks to production deployments in cloud-native environments. I favor open-source tools, proven workflows, and technologies that scale.

🔍 Data & Exploration

  • Pandas, NumPy
  • Matplotlib, Seaborn
  • Jupyter, VS Code, PyCharm

🧠 Machine Learning & AI

  • Scikit-Learn
  • PyTorch, TensorFlow
  • Transformers (Hugging Face)

⚙️ MLOps & Deployment

  • MLflow
  • Weights & Biases
  • FastAPI, Docker
  • GitHub CI, Azure CI
  • Azure DevOps, Azure

🧰 Dev & Integration

  • Python, .NET
  • REST APIs
  • Terraform
  • Azure DevOps
  • API Management
  • Service Bus

My Flexibility as a Freelancer

I don’t push a specific stack – I adapt to yours, or help you find one that works for your team. From notebooks to production, I’m comfortable across the full ML lifecycle.