I will build custom llms and rag ai apps
AI and Data Solutions Engineer
Über diesen Service
I build custom LLM and RAG-based AI applications designed for real-world use cases, not fragile demos.
My focus is on clear logic, clean Python code, and scalable AI workflows using modern LLMs. Whether you need a quick prototype, a RAG-powered app using your documents, or a custom LLM agent, I deliver solutions that are structured, reliable, and easy to extend.
What I can help you with:
LLM prototypes and proof-of-concepts
RAG pipelines using PDFs or text data
Custom LLM apps and AI agents
Streamlit demos and notebooks
Well-documented, modular Python code
I work with OpenAI/Gemini APIs and prioritize clear communication at every step. Each package has a clearly defined scope to ensure smooth delivery and high-quality results.
If youre unsure which package fits your needs, feel free to message me before ordering.
Frameworks:
scikit-learn
•
PyTorch
•
Panda
Datentyp:
Text
Programmiersprache:
Python
•
SQL
•
Colab
Tools:
Jupyter-Notizbuch
•
MLflow
•
Colab
•
Andere
APIs:
OpenAI
•
Andere
FAQ
What do you need from me to get started?
A short description of your use case, sample data or documents (if any), and your expected outcome.
Do you offer fine-tuning or model training?
No. This gig focuses on LLM integration, RAG systems, and application logic, not custom model training.
Will you deploy the application to the cloud?
I don’t manage cloud infrastructure, but deployment guidance can be added as an extra if needed.
What technologies do you use?
Primarily Python, LLM APIs (OpenAI/Gemini), vector search, and tools like Streamlit or notebooks.
Can you customize the scope beyond the listed packages?
Yes. For advanced or unique requirements, please contact me for a custom offer.
Do you provide source code?
Yes. Clean, well-structured Python source code is included in all packages.

