boloses1 User
@boloses1user
I build production-ready agentic AI systems that cut LLM costs and improve quality.
What I'm looking for
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
AI Engineer
i22 Digitalagentur
Sep 2025 - Present (11 months)
Developed agentic AI systems for enterprise clients, including a multi-stage orchestration platform with human-in-the-loop quality assurance and sigmoid-based cost optimization reducing API costs by 90%. Architected MCP microservices and led AI enablement initiatives.
Education
Degrees, certifications, and relevant coursework
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.
Availability
Location
Authorized to work in
Portfolio
github.com/Marvin0212Job categories
Skills
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