I will develop custom machine learning models and ai apps in python
AI Engineer
Over deze dienst
Stop Hiring "Yes-Men." Get AI Engineering That Actually Works.
Most freelancers deliver broken Jupyter notebooks that never make it to production. I build production-ready ML pipelines and intelligent AI apps. Whether you need a predictive model, a custom LLM agent using Deepseek/OpenAI, or advanced NLP, I deliver clean, non-templated code designed to scale.
WHAT I OFFER:
- Custom ML: Scikit-Learn, PyTorch, TensorFlow (Regression, Classification, Clustering).
- Advanced AI: RAG Frameworks, LLM Fine-tuning (O1, GPT-4o, Claude), & Computer Vision.
- Deployment: Interactive Streamlit/Gradio UIs & FastAPI backends.
WHY CHOOSE ME?
- Zero Templates: Bespoke code built from your unique dataset.
- Deployment-First: One-Click Dockerization included so it works on your server, not just mine.
- Honest Consulting: I identify dataset flaws and project blind spots before we start.
DELIVERABLES:
Well-commented .ipynb/.py files, model weights (.pkl/.joblib), and a video walkthrough.
Message me today to turn your data into a strategic asset.
Programmeertaal:
Python
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R
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MATLAB
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SQL
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Java
Veelgestelde vragen
Do I need to be a technical expert to work with you?
No. I bridge the gap between complex AI logic and your business goals. I translate technical jargon into a clear roadmap, ensuring you understand the "why" behind every model I build for you.
Can you integrate models like Deepseek, o1, or Claude?
Yes. I am proficient in the latest LLM architectures and API integrations. Whether you need a private Deepseek-R1 deployment or a high-performance RAG pipeline using OpenAI’s o1, I build the custom logic required.
What exactly will I receive in the final delivery?
You receive more than just code. Every project includes documented Python files (.py/.ipynb), environment dependencies, a performance report, and a README. Premium orders include a Dockerized container and a Streamlit or FastAPI user interface.
Will the Machine Learning model work on my own data?
Absolutely. I do not use generic templates. I begin with a Data Audit to ensure the model is trained or fine-tuned specifically on your dataset’s unique features, maximizing accuracy for your specific use case.
Do you offer support if the code breaks later?
I provide a 14-day technical support window post-delivery to assist with configuration or environment issues. For long-term pipelines, we can discuss maintenance agreements to keep your AI app updated as APIs evolve.
Why should I message you before placing an order?
ML depends on data quality. A brief review ensures your data supports your goals. This prevents wasted time and ensures the package you select perfectly matches the complexity of your unique project needs.
