06.08.2026 aktualisiert
Premiumkunde
100 % verfügbarFreelance Full-Stack Senior Software Engineer & AI Engineer
Hosenfeld, Deutschland
Weltweit
M.Sc. Engineering Informatics – Cognitive SystemsÜber mich
Freelance full-stack engineer & founder with 5+ years and a clear AI focus. I design and ship production-ready web & mobile apps end-to-end, RAG, Graph-RAG, knowledge graphs, and code-based agentic systems on a cloud-native foundation. I own projects from architecture to deployment.
Skills
AI AgentsRAGAzure DevOpsFlutterC (Programmiersprache)JavaComputer VisionBusiness AnalysisC++DevOpsUi-DesignPythonLiquibaseMachine LearningAWS CLI
About Me
I am a freelance Full-Stack Software Engineer with a founder's mindset. I build production-ready web and mobile applications from the ground up - turning an initial idea into robust architecture, clean implementation, and scalable operations. Combining deep technical expertise in AI with an entrepreneurial product view, I connect business strategy with engineering reality.
My background spans safety-critical software in automotive perception and autonomous driving as well as AI platforms for regulated enterprise environments. Today I run my own products - including Aspice Pro, a production-grade Graph-RAG advisor for the ASPICE domain, and a consumer mobile app - and reserve dedicated capacity for freelance clients.
Core Expertise
- AI & LLM Solutions: Designing, building, and productionizing RAG, Graph RAG, knowledge graphs, and multi-agent systems.
- Software & System Architecture: Domain-Driven Design and clean architecture - custom systems designed from first principles, not assembled from prefabricated blocks.
- Full-Stack & Mobile Development: Java/Spring Boot, Python/FastAPI, Angular, React, Flutter, Kotlin Multiplatform.
- Cloud & DevOps: Resilient CI/CD pipelines, Kubernetes, Docker, Infrastructure as Code (AWS, Azure, Hetzner).
- Business Analysis: Translating complex stakeholder requirements into actionable technical roadmaps (IBO Certified Business Analyst).
Tech Stack
- Languages: Java, Python, TypeScript, C/C++
- Backend & Frontend: Spring Boot, FastAPI, Angular, React, Apache Kafka, PostGreSQL
- Mobile: Flutter, Kotlin Multiplatform
- AI & Data: LLMs, RAG / Graph RAG, Knowledge Graphs (Neo4j), AI Agents, MCP/A2A, vector databases (pgvector, Qdrant), TensorFlow, PyTorch
- Databases & DevOps: PostgreSQL, Redis, Liquibase, Kubernetes, Docker, Terraform, GitHub Actions, AWS, Azure, Hetzner, Vercel
How I Work
I design systems from first principles and prioritize clean, maintainable architecture over short-term hacks. Because I build and operate my own products, I understand the real trade-offs between technical excellence, business logic, and go-to-market execution. And I bring that end-to-end perspective into every engagement.
I work with a small number of clients at a time, providing deeply focused engineering and architectural support. Analytical thinking, pragmatic hands-on execution, transparent communication - and complete ownership of my deliverables.
Sprachen
DeutschMutterspracheEnglischverhandlungssicherSpanischverhandlungssicher
Projekthistorie
Design and development of a production-ready AI advisor for the ASPICE domain on a state-of-the-art Graph-RAG architecture. The domain is modeled as a knowledge graph in Neo4j and combined with vector retrieval to ground LLM responses, orchestrated through LangChain-based agents and exposed via a Python/FastAPI backend. End-to-end ownership of the system architecture, from data modeling and the Graph-RAG pipeline to a deployable solution.
Interface between business stakeholders and technical teams: requirements gathering, solution design, and ownership through to deployment. Development of AI solutions, including RAG and Graph-RAG pipelines over a pgvector vector store and autonomous AI agents running on a custom, in-house agent framework (architecturally close to HyDRA) using MCP/A2A protocols, served through Python/FastAPI backends and containerized on Kubernetes with GitHub Actions CI/CD. Drove the AI platform's C5 certification initiative, achieving 99% production availability and winning the parent company (VKB) as a platform customer. Supported the infrastructure migration from Azure to AWS, provisioned and managed as code with Terraform.
Development and optimization of algorithms for radar point-cloud segmentation and occupancy-grid mapping for embedded real-time systems. Raised the C++ codebase to ISO 26262 safety standards via architectural patterns and quality gates to reach certification readiness for autonomous driving functions. Reduced technical debt through systematic refactoring; contributed to unit/integration tests and peer code reviews.