I build at the
intersection of AI
and real-world problems.

Applied AI & data science practitioner exploring how language models, intelligent systems, and thoughtful analytics can make complex work simpler.

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My focus

AI agents.
Context engineering.
Useful applications.

Based in Germany✳

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01 / Selected projects

Proof in the work.

From evaluating agentic AI architectures to shipping practical machine learning APIs.

01AI research / Master’s thesisSingle-agent vs. multi-agent LLM systemsFour architectures benchmarked on 1,147 financial reasoning questions.2026 02Machine learning / Deployed appInsurance Charges PredictorA real-time prediction API built with Gradient Boosting and FastAPI.Live demo 03Explainable AI / MLCustomer Churn, explainedMaking customer risk predictions understandable with SHAP.Case study

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02 / About

Curious by nature.
Practical by design.

I completed my master’s thesis and viva in Data Science, Artificial Intelligence & Digital Business at GISMA University of Applied Sciences in 2026, building on a Computer Science & Engineering background.

I'm interested in the space where research becomes something useful — better AI workflows, interpretable models, and business decisions grounded in data.

A little more about me

03 / By the numbers

Selected outcomes.

Measured results from hands-on projects, not hypothetical claims.

1,147FinQA questions evaluated

4LLM architectures implemented

0.8795R² on insurance prediction

I build at theintersection of AIand real-world problems.

Proof in the work.

Curious by nature.Practical by design.

Selected outcomes.

I build at the
intersection of AI
and real-world problems.

Curious by nature.
Practical by design.