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Short profile

Alexander Haus Senior AI & Automation Engineer

I combine more than 10 years of backend engineering experience with machine learning methods. My focus is making unstructured data usable, automating cloud infrastructure, and integrating AI into business processes that reduce work in daily operations.

“Artificial intelligence creates value only when the backend behind it is stable. An AI model is only as useful as the data pipeline that feeds it.”

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Expertise

Alexander Haus

M.Sc. Computer Science

  1. Applied AI and RAG architectures

    I design and implement retrieval-augmented generation pipelines and LLM integrations with vector databases. This makes unstructured company data such as audio, video, and documents searchable and usable in automated workflows.

  2. Data engineering and event streaming

    I build ETL processes and event-driven architectures with Apache Kafka to connect legacy systems such as SAP or Oracle to modern cloud platforms. The goal is traceable data flow that teams can review and improve in operations.

  3. Cloud backend and serverless infrastructure

    I build performant, modular APIs with Python and FastAPI. I also support AWS cloud migrations and set up CI/CD pipelines, Infrastructure as Code with AWS CDK, and serverless architectures with AWS Lambda so operations and maintenance become easier to plan.