01.10.2026 aktualisiert
Premiumkunde
100 % verfügbarAI Consulting & Dev: Agentic AI, LLM, RAG, Computer Vision & Infrastructure
Garching bei München, Deutschland
Weltweit
M. Sc. Elektro- und InformationstechnikÜber mich
Senior AI Consultant & Architect. I build & validate robust Agentic AI & Vision systems. Specialized in LLM Testing, Benchmarking & Risk Mitigation. I ensure Strategic Consulting & Scalable Infrastructure (AWS/MLOps) – from feasibility to production.
Skills
ProxmoxKünstliche IntelligenzAmazon Web ServicesAmazon Elastic Compute CloudAmazon S3ArchitekturComputer VisionAutomatisierungTest AutomationStrategisches ManagementC#C++Cloud ComputingComputerprogrammierungDatenbanken
AI Consulting & Strategic Development
I guide projects from feasibility analysis to production-ready systems. My focus is on technical viability, scalability, and business impact.
- AI Strategy: Feasibility Studies, Use-Case Definition, Technology Selection (Buy vs. Build).
- Risk Management: LLM Risk Mitigation, Reputational Safety, Compliance-Checks.
- Architecture: Design robuster Cloud- und Edge-Architekturen für KI-Anwendungen.
Development of autonomous agent systems and complex Large Language Model integrations.
- Agent Frameworks: LangGraph , CrewAI , LangChain, AutoGPT.
- Integration & Tools: n8n (Automations) , MCP (Model Context Protocol) , Flowise.ai.
- LLM Tech: RAG (Retrieval Augmented Generation) , Vector Databases (ChromaDB ), Prompt Engineering, Fine-Tuning.
- Modelle: OpenAI (GPT-4o) , Ollama (Llama 3, Mistral), Anthropic Claude.
Ensuring quality and reliability in both deterministic and generative AI systems.
- LLM Testing: Benchmark-based Testing Frameworks , Hallucination Detection, Risk Mitigation.
- Automated Testing: Skyvern (AI-based Web Testing) , Automated Unit & Integration Tests, End-to-End Validation.
- Quality Gates: CI/CD Integration von AI-Tests in GitLab Pipelines.
Building scalable platforms leveraging my background in Electrical & Information Engineering.
- Cloud (AWS): Serverless Architecture, AWS Batch (High Performance Computing) , DynamoDB, EC2, S3.
- Container & Orchestration: Kubernetes , Docker , Proxmox Server Management.
- DevOps: GitLab CI/CD Maintainer, Infrastructure as Code (IaC), Monitoring.
- Edge AI: Deployment auf Embedded Devices (NVIDIA Jetson), Model Quantization.
Specialized in state-of-the-art 3D reconstruction and object recognition.
- NeRF & 3D: Nerfstudio Contributor , Gaussian Splatting, Photogrammetry, Radiance Fields.
- Recognition: YOLO 11 , Object Detection & Segmentation, Tracking, Pose Estimation.
- Processing: OpenCV, PyTorch , Automated Data Pipelines.
- Languages: Python (Expert) , C/C++ (Embedded Background), C#.
- Tools: VS Code , Unity (Simulation & Digital Twins) , Linux/Unix, Git.
Erfahrung
Berufserfahrungmehr als 10 Jahre
Freelancer seit2009
Sprachen
DeutschMutterspracheEnglischverhandlungssicherItalienischGrundkenntnisse
Projekthistorie
- Build an AWS server backend consisting of a communication hub and on-demand processing nodes.
- Build automated processing pipelines for visual data
- Implement and optimize NeRF and Guassian Splatting processing for different subprojects/products
- Build Multi-Agent LLM systems for task automation
- DevOps and GitLab CI/CD
Reasearch project: CopKa
- Define and setup a multicopter's onboard-computer
- Write drone's control software in C/C++
- Data recording and analysis
- Multiple small side projects like a combined sensor from GPS, IMU and wheel spin
- Write teleoperation software for a humanoid robot in C/C++
- Construct a teleoperation system
- Write a teleoperation simulation system in Unity
- Redevelop onboard hardware for drones
- Further develop onboard control software
- Write a server backend for interconnecting operaters with drones
- Define and setup databases
- Assembly of control cabinets for industrial systems
- Prototype construction
- PCL programming
- Installation and maintenance of customer systems