AI Research

Local, measurable and reproducible AI.

My work focuses on systems whose behavior can be inspected, tested and improved rather than accepted as a black-box demonstration.

01

TSFT-RAG

Task-specific full fine-tuning for evidence-grounded RAG behavior across open model families.

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02

Local RAG

Retrieval architectures for privacy-sensitive higher education, research and organizational knowledge.

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03

LLM Evaluation

Benchmarks for grounded answers, hard negatives, structured output, citations and robustness.

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04

XML Transformation

Hybrid rule-based and language-model pipelines for complex structured document conversion.

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