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boloses1 User

@boloses1user

I build production-ready agentic AI systems that cut LLM costs and improve quality.

Germany
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What I'm looking for

I'm looking to design and scale production-ready agentic AI systems, from prototypes to durable architectures, with strong evaluation, governance, tool calling, and team enablement.

At i22 Digitalagentur, I build agentic AI systems for enterprise clients, including a multi-stage content platform with human-in-the-loop quality assurance that reduced API costs and token usage by 90%.

I've redesigned slow monolithic AI assistants into orchestrated systems that dynamically load domain expertise, documented architecture decisions in ADRs, and trained client teams to scale additional agents. I also created reusable MCP microservices for tool calling, CI/CD, containerization, and Traefik routing, now used across multiple client projects.

Previously at Universitätsklinikum Heidelberg, I led GDPR-compliant clinical-text anonymization for the national GeMTeX project, fine-tuned open-source medical models, and built RAG and evaluation pipelines. My work spans medical NLP, transformer training dynamics, and explainable machine learning.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

Technical University of Darmstadt logoTD

Technical University of Darmstadt

Master of Science, Medical Technology (Data Science)

2021 - 2024

Grade: 1.8

Pursued a Master of Science in Medical Technology with a focus on Data Science and Machine Learning at TU Darmstadt from 2021 to 2024, achieving a grade of 1.8. The program included core modules in statistical machine learning, deep learning architectures, and AI in medicine, with a thesis on interpretable ML for health prediction.

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