You will get : AI workflow architecture audit for automation and LLM systems
Rising Talent
Project details
I will review your AI workflow, LLM automation, or agent-based system from an architecture and reliability perspective.
This service is for teams that already use or plan to use tools such as ChatGPT, Claude, OpenAI APIs, n8n, Zapier, Airtable, CRMs, internal tools, RAG, or knowledge workflows — but want a clearer, more robust architecture before scaling.
I focus on practical questions: Where should AI be used? Where should deterministic logic be used instead? How should data, prompts, APIs, validation steps, and human review be connected? What are the main risks around hallucination, brittle workflows, cost, maintainability, and output quality?
My background combines software architecture, Python-based automation, NLP, knowledge-graph-style modeling, and safety-critical systems. In my own work, I build formal-semantic AI workflows that use structured representations and corpus parsing to make AI outputs more reviewable and reliable.
You will receive a structured architecture review with clear risks, trade-offs, and practical recommendations.
This service is for teams that already use or plan to use tools such as ChatGPT, Claude, OpenAI APIs, n8n, Zapier, Airtable, CRMs, internal tools, RAG, or knowledge workflows — but want a clearer, more robust architecture before scaling.
I focus on practical questions: Where should AI be used? Where should deterministic logic be used instead? How should data, prompts, APIs, validation steps, and human review be connected? What are the main risks around hallucination, brittle workflows, cost, maintainability, and output quality?
My background combines software architecture, Python-based automation, NLP, knowledge-graph-style modeling, and safety-critical systems. In my own work, I build formal-semantic AI workflows that use structured representations and corpus parsing to make AI outputs more reviewable and reliable.
You will receive a structured architecture review with clear risks, trade-offs, and practical recommendations.
Machine Learning Tools
BERT, ChatGPT, GitHub Copilot, NLTK, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, SciPy, Stanford CoreNLPWhat's included
| Service Tiers |
Starter
$300
|
Standard
$1,000
|
Advanced
$1,900
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 8 days |
Number of Revisions | 1 | 1 | 2 |
Model Validation/Testing | - | - | - |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Source Code | - | - | - |
Frequently asked questions
About Felix
AI Systems Architect | Backend & Automation for Complex Software
Grafing bei Munchen, Germany - 4:04 am local time
With 15+ years of experience across automotive, aerospace, and high-reliability domains, I have specialized myself in turning complex and traceable requirements into robust, production-ready systems, from architecture and back-end implementation to validation and system-level reliability.
What I do best:
• Build AI-powered systems and automation workflows
• Design scalable backend and distributed architectures
• Develop validation, testing, and reliability frameworks
• Develop model-based, traceable workflows from requirements to implementation
• Translate complex requirements into structured, working systems
My background includes work on safety-critical and high-assurance systems, where reliability, traceability, and correctness are essential. This experience carries over into everything I build, even outside regulated environments.
In addition, I bring a strong engineering background beyond software, including hands-on work with physical systems, experimental setups, and measurement-driven development, as well as experience with Software-in-the-Loop (SiL) and Hardware-in-the-Loop (HiL) environments. This allows me to design solutions that are not only technically sound in software, but also grounded in real-world system behavior.
I’m particularly strong in projects that involve:
• complex logic or decision-making systems
• AI integration into real-world workflows
• system architecture and technical problem solving
• building reliable systems where failure is not an option
If you’re looking for someone who can not only implement, but also think through system design and long-term scalability, I can help.
Feel free to reach out with your project. Also if it’s early-stage or not fully defined yet.
Steps for completing your project
After purchasing the project, send requirements so Felix can start the project.
Delivery time starts when Felix receives requirements from you.
Felix works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Review
Review submitted requirements, workflow description, tools, and any attached diagrams or documents.
Analyze Workflow
Analyze the current AI workflow, data flow, automation logic, and integration points.