Alexander Benisch

Intensive hands-on training in modern cloud-native development, focusing on Python backend services and Kubernetes orchestration.

• • Developed production-ready WordPress AI Chatbot plugin with FastAPI backend, implementing REST APIs for LLM integration with Ollama and RAG functionality using PostgreSQL with pgvector extensions

• • Built complete microservices architecture from greenfield, including service decomposition, API design, and inter-service communication patterns

• • Implemented comprehensive CI/CD pipelines with automated testing, Docker builds, and GitOps deployment workflows using Flux CD on Kubernetes clusters

• • Applied design patterns and SOLID principles throughout codebase, ensuring maintainable and testable code with proper separation of concerns

• • Deployed production environment at wp-ai-chatbot.k8s-demo.de demonstrating full stack deployment capabilities

• • Technologies: Python, FastAPI, PostgreSQL, Redis, Docker, Kubernetes, GitLab CI/CD, Flux CD

Full-stack development of backend services and APIs for various client projects, with emphasis on clean architecture and automated deployment.

• • Architected and developed RESTful microservices for WordPress/WooCommerce AI chatbot integration

• • Implemented vector database integration with pgvector for semantic search and RAG (Retrieval-Augmented Generation)

• • Built comprehensive test suite with PyTest covering unit, integration, and API endpoint testing

• • Technologies: FastAPI, PostgreSQL, pgvector, Redis, Docker, Kubernetes