You will get I will audit and fix your RAG system – accuracy, speed & cost
Project details
Is your RAG system hallucinating, retrieving the wrong documents,
or running up costs without delivering accurate answers? You are
not alone — most RAG systems fail silently in production.
I am a GenAI Engineer with 3+ years of hands-on experience building
and optimizing RAG systems in regulated enterprise environments
(energy, automotive, chemicals). I have delivered production RAG
systems at Mercedes-Benz and in the energy sector using LangChain,
Azure AI Foundry, and various vector databases.
I will systematically diagnose your RAG pipeline — chunking strategy,
embedding model, retrieval quality, prompt design, and cost efficiency
— and deliver a clear written report with prioritized fixes. No vague
recommendations, only concrete and actionable improvements.
What you get: a structured audit report covering every layer of your
RAG stack, ranked by impact, with specific code-level recommendations
you can implement immediately.
or running up costs without delivering accurate answers? You are
not alone — most RAG systems fail silently in production.
I am a GenAI Engineer with 3+ years of hands-on experience building
and optimizing RAG systems in regulated enterprise environments
(energy, automotive, chemicals). I have delivered production RAG
systems at Mercedes-Benz and in the energy sector using LangChain,
Azure AI Foundry, and various vector databases.
I will systematically diagnose your RAG pipeline — chunking strategy,
embedding model, retrieval quality, prompt design, and cost efficiency
— and deliver a clear written report with prioritized fixes. No vague
recommendations, only concrete and actionable improvements.
What you get: a structured audit report covering every layer of your
RAG stack, ranked by impact, with specific code-level recommendations
you can implement immediately.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI Chatbot, Conversational AI, Natural Language GenerationAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Hugging Face, Microsoft 365 CopilotAI Models
ChatGPT, GPT-3, GPT-4, GPT-Neo, LLaMAWhat's included
| Service Tiers |
Starter
$199
|
Standard
$499
|
Advanced
$899
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 10 days |
Number of Revisions | 1 | 2 | 2 |
AI Model Integration | - | - | - |
Batch Normalization | - | - | - |
Database Integration | - | - | - |
Detailed Code Comments | - | - | |
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | - |
Model Documentation | |||
Model Monitoring | - | - | - |
Model Testing & Optimization | - | ||
Model Tuning | - | - | |
Natural Language Processing | |||
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | |||
Setup File | - | - | - |
Source Code | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$100 - $500
Strategy Call
(+ 2 Days)
+$79Frequently asked questions
About Florian
GenAI & RAG Solutions Architect | LLM Integration | NLP | Azure AI
Ludwigshafen am Rhein, Germany - 12:21 pm local time
Most AI projects fail not because of bad technology but because nobody bridges the gap between a promising prototype and a system that actually runs reliably in production. That's exactly what I do.
I help companies turn AI ambitions into deployed, production-grade GenAI solutions. Whether you're exploring your first LLM use case or struggling to get an existing PoC into the hands of real users. I take you from where you are to where you need to be.
What I deliver:
→ RAG Systems & LLM Integration
Custom retrieval-augmented generation pipelines that give your team reliable, grounded answers from your own data. I design the full architecture — from chunking strategy and embedding models to vector store selection and retrieval optimization. No hallucinations, no black boxes, no "it works on my laptop" demos.
→ GenAI Strategy & Feasibility
Not every problem needs an LLM. I help you evaluate whether GenAI is the right fit, which model and architecture to choose, and what a realistic roadmap looks like — before you invest months of engineering time. Think of it as a technical due diligence for your AI initiative.
→ NLP & Intelligent Document Processing
Extracting structure from unstructured data like contracts, reports, technical documentation. I build pipelines that classify, extract, and summarize at scale, combining classical NLP with modern LLM capabilities where it makes sense.
→ AI Agents & Agentic Workflows
Beyond simple chatbots: multi-step AI agents that reason, use tools, and execute complex tasks autonomously. From customer service automation to internal knowledge assistants that actually understand your processes.
→ Azure AI & Enterprise-Grade Deployment
Production solutions built on Azure AI Foundry, designed for environments where security, compliance, and data privacy are non-negotiable. I know what it takes to get AI approved in regulated, enterprise settings.
Why clients work with me:
I've spent years building GenAI solutions in environments where "good enough" isn't good enough:
At Mercedes-Benz Tech Innovation, I worked on GenAI frameworks and LLM evaluation for automotive engineering use cases.
At BASF, I developed ML solutions under strict regulatory and compliance requirements.
As Expert Data Science & AI at a major German energy company, I designed and deployed production AI systems serving thousands of users.
This background means I don't just build technically sound solutions but I understand stakeholder management, enterprise architecture, compliance, and what it takes to get AI projects across the finish line in complex organizations.
My tech stack:
Python · LangChain · LlamaIndex · Azure AI Foundry · Azure OpenAI · OpenAI API · Anthropic API · Open-source LLMs · Vector Databases · FastAPI · Docker · n8n · Classical ML (scikit-learn, XGBoost) · NLP (spaCy, Hugging Face) · Small Language Models · RAGFlow
How I work:
I'm pragmatic, fast, and communicative. I start every engagement by understanding your actual business problem - not jumping into code. I give you honest assessments of what's feasible, what's not, and what the fastest path to value looks like. I deliver working solutions, not slide decks.
Whether you need a 2-day feasibility sprint, a rapid prototype, or someone to take your existing PoC to production --> let's talk. I typically respond within a few hours.
Steps for completing your project
After purchasing the project, send requirements so Florian can start the project.
Delivery time starts when Florian receives requirements from you.
Florian works on your project following the steps below.
Revisions may occur after the delivery date.
Review your codebase, architecture, and described symptoms
Audit chunking strategy, embedding model, and indexing pipeline