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I will do machine learning llm rag ai automation and custom ai model development
Full Stack AI Developer, AI Web and Mobile App Developer, Data Analytics
Mobile App Developer | AI Software Developer | Full Stack Web Developer I am a passionate Full Stack & AI Engineer with 7+ years of experience, delivering 370+ projects for 330+ satisfied clients. I h...
Niveau 2
Répond à des critères de performance élevés et a fait ses preuves en matière de satisfaction clients.
Très réactif
Connu(e) pour ses réponses exceptionnellement rapides
À propos de ce service
Alot of AI projects start strong and stall at deployment. The mode works in isolation but doesn't connect to anything real. I specialize in the part that comes after the demo.
With 7+ years of experience, 370+ projects, trusted by Mercedes-Benz and Metro AG. 130+ 5 star reviews. Google Certified. 30% faster delivery via AI coding agents.
I build custom AI models, RAG pipelines and AI automation systems for business that needs reliable scalable infrastructure that goes live.
What I build
- Machine Learning models: Classification regression NLP, deep learning computer vision deployed as REST APIs.
- LLM & RAG pipelines: custom chatbot knowledge bases with Langchain OpenAI & Claude.
- AI agents & multi agent systems: Autonomous agents with tool calling and orchestration.
- AI automation workflows: n8n pipelines FastAPI microservices API integrations.
- Fine-tuned custom AI models: ChatGPT LLaMA Mistral by LoRA and QLoRA.
- Cloud deployment: AWS, GCP with pinecone pgvector chromaDB.
Tech Stack
Python, PyTorch, TensorFlow, LangChain, OpenAI API, Claude API, Hugging Face, n8n, FastAPI, Pinecone, AWS, GCP
Not sure where to start? One click can change everything. Contact me to get started.
Mon portfolio
FAQ
What exactly do you deliver in a machine learning or AI automation project?
A fully working, production-ready system not a demo. Depending on your package this includes trained ML models, RAG pipelines, LLM integrations, n8n automation workflows, REST APIs, and cloud deployment on AWS or GCP. Full source code and documentation always included.
Do I need a RAG pipeline or a fine-tuned custom AI model?
RAG is best when you want AI to answer from your own documents or database. Fine-tuning is best when you want the AI to behave or respond in a specific way. Most production LLM systems use both message me and I'll tell you exactly what fits your use case.
Who owns the code and AI model after delivery?
You do. Full ownership of source code, trained models, and documentation transferred at delivery. I also sign NDAs upon request.
What data do you need to start an LLM development or RAG project?
Your documents, URLs, database, or any data source the AI should work with, plus a description of what the system should do. If you're unsure, message me first and we'll figure it out together.
Can you integrate the AI automation system into my existing app?
Yes. I build REST APIs and FastAPI backends that connect your machine learning or LLM system to your existing platform, CRM, or workflow.
Do you offer post-delivery support?
Yes 30 days post-launch support included in all packages. For ongoing AI integration and maintenance, contact me for a custom arrangement.
How long does a custom AI model or RAG pipeline take?
Basic RAG or ML model 5 days. Production LLM pipeline with AI automation 10 days. Full enterprise system with GPT fine-tuning and cloud deployment 21 days.
