About
Cloud Architect & AI Solutions Expert
I'm Daniel Kreuzhofer — 20+ years in IT, from building trading platforms at UniCredit to leading cloud architecture teams at AWS. Today I help companies in retail, finance, and insurance turn AI from buzzword into business results. Whether it's migrating to AWS, modernizing legacy apps, or implementing GenAI that actually works, I focus on practical outcomes over hype. I bring the technical depth of a solutions architect with the practical mindset of a founder — I've built companies, shipped products, and know what it takes to go from idea to execution. Based in Bavaria, Germany.
I help you move from ideas to real results with AI and cloud — through clear guidance, practical steps, and hands-on coaching.
Experience
Projects
Skills
Cloud Architecture
Designing and implementing scalable cloud solutions on AWS
AWS Solutions Architecture
Certified Solutions Architect with deep expertise across AWS services
Cloud Migration
Led enterprise migrations for media, healthcare, and entertainment companies
Application Modernization
Transformed legacy applications to cloud-native architectures
Microsoft Azure
Certified Azure Solutions Architect, ISV partner onboarding
Serverless Architecture
Serverless-first design since first AWS role — media services, live streaming, live-voting systems for Bertelsmann/RTL Group, and ongoing customer architectures
Infrastructure as Code
CloudFormation, Terraform, CDK, and automated deployments
AI & GenAI
Implementing AI-driven solutions for business transformation
Amazon Bedrock
Primary AI platform for customer engagements — Claude models, RAG pipelines, agent architectures, and intelligent document processing
GenAI Implementation
AWS Certified AI Practitioner. Use-case-first methodology: identify business outcomes, validate feasibility, one-week prototype sprints, then PoC decision
RAG & Hybrid RAG
Most common customer pattern — knowledge augmentation for employees using search and reranking for better customer conversations and support
Intelligent Document Processing
End-to-end IDP architectures combining Textract and Claude — invoice matching, delivery note mapping, fraud detection. Discovery-first approach for document type, extraction strategy, and data flow design
AI Agents
Building agents with Strands Agents SDK (code path) and Amazon Q (no-code path). Deployed agents for non-developer productivity — account managers autonomously creating agents for briefings, reports, and customer communication
Strands Agents SDK
AWS agent framework for complex multi-step architectures — the code path for customers who need full control over agent behavior, tool orchestration, and custom evaluation pipelines
Amazon Textract
Core service for Intelligent Document Processing — invoice extraction, delivery note mapping, and structured data extraction combined with Claude for downstream reasoning
Amazon Q
No-code AI path for customers — RAG, agents, and MCP integration without deep technical capacity required
Claude Code
Primary AI coding tool — built entire Chat3D and portfolio projects using Claude Code CLI with spec-driven workflows, hooks, and MCP server integrations
Kiro
IDE and CLI for developer productivity and general employee productivity. MCP server integration for Slack, email, Salesforce, Outlook, OneDrive. Building shared collaboration spaces with Obsidian for agent-readable/writable workflows
Windsurf
First AI coding tool adopted — used for initial project builds before transitioning to Kiro and Claude Code for spec-driven development
ChatGPT / OpenAI Codex
Regular use for code generation, problem-solving, and technical writing. Hands-on experience with GPT-4, GPT-5.2, and Codex models
LLM Fine-tuning
Hands-on fine-tuning of Qwen3-8B, Qwen3-32B (LoRA), and Qwen3-235B-A22B models on GPU clusters. Achieved 2% to 88% accuracy improvement on SQL generation tasks. Experience with FSDP distributed training, LoRA/PEFT, and HuggingFace Transformers
vLLM
High-performance LLM inference serving with OpenAI-compatible API. Multi-node inference with tensor parallelism (TP=8) and pipeline parallelism (PP=2) across 16 H100 GPUs
Ray
Distributed computing framework for multi-node LLM inference coordination. Ray cluster setup across Slurm-managed GPU nodes with InfiniBand + GPUDirect RDMA
Slurm
HPC job scheduler for GPU cluster management. Slurm-on-Kubernetes via Soperator, multi-node training and inference job orchestration on H100 clusters
Amazon SageMaker
Model training, fine-tuning, and hosting for customer engagements — used alongside Bedrock when custom models or fine-tuning are required
Build123d / 3D CAD Automation
Python CAD library for programmatic 3D model generation — core of the Chat3D project. Niche domain where fine-tuned small models outperform frontier models
Machine Learning
ML workloads on SageMaker, model fine-tuning for specific use cases when labelled data is available
Software Development
Full-stack development with modern technologies
TypeScript
Full-stack development, React applications, Node.js backends
Python
Automation, AI/ML tooling, scripting
C# / .NET
Enterprise applications, ASP.NET, .NET modernization
React
Modern web applications and SPAs
Node.js
Backend services, APIs, serverless functions
Leadership & Strategy
Guiding teams and driving technical strategy
Team Leadership
Led Solutions Architecture teams at AWS
Technical Project Management
Enterprise projects in banking, media, and healthcare
Customer Engagement
Enterprise customer relationships and technical consulting
AI Strategy & Adoption Consulting
Helping enterprises cut through AI hype — filtering 20-30 use cases to the ones with real business impact, consolidating fragmented initiatives, defining measurable outcomes, and managing expectations between management mandates and operational reality
CXO / C-Level Engagement
Systematic relationship building with CIOs and CXOs — translating complex AI capabilities into business outcomes for executive audiences. A core success metric in current role
AI Use-Case Evaluation
Core daily methodology — filtering 20-30 customer AI ideas to the ones with real business impact. Use Case → Business Outcome → Prototype → PoC decision. Consolidating fragmented initiatives into cohesive solutions
People Development & Mentoring
Aspiring Managers Program graduate. Led team of 5-7 Solutions Architects — promotion management, career coaching, and technical mentorship. Prefers fachliche Führung (technical leadership) over disciplinary management
Business Model Transformation
ISV partner consulting and cloud adoption strategies
For Recruiters & Hiring Managers
I believe in radical transparency
Skip the guesswork. Get honest insights into my expertise and an AI-powered assessment of how I match your specific requirements.
Let's Build Something Together
Whether you're looking to modernize your cloud infrastructure, implement AI solutions, or discuss opportunities—I'd love to hear from you. No pressure, just conversation.
Send an Email
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Visit Kreuzhofer.de
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No pressure—reach out whenever feels right.