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Open About pageAI & Data Engineer · Zurich, Switzerland · PhD in AI
Jenifer Ciuciu-Kiss is an AI & Data Engineer in Zurich.
I build machine learning, LLM/RAG, document automation, data pipeline, and knowledge graph systems while completing a part-time PhD in Artificial Intelligence.
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Applied work
Projects in ML, RAG, OCR, knowledge graphs, and web systems
See public projects and case studies that connect research software, document automation, semantic web, and product engineering.
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PhD research, publications, and semantic web work
Read about research software classification, scientific knowledge graphs, NLP methods, reproducibility, and workshop papers.
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Websiteli
An AI-powered web development platform delivering production-ready websites optimized for SEO, CRO, accessibility, performance, and marketing automation.
View projectAttributes, Taxonomies and Semantic alignment for Automated Research Software Classification
Research software (RS) plays a critical role in computational science, yet remains poorly categorized and difficult to discover or reuse. This research explores RS classification by investigating how textual and metadata attributes can be leveraged to develop scalable, interpretable classification methodologies. Existing taxonomies are evaluated through alignment with scientific knowledge graphs to identify redundancies and structural gaps. Labeled datasets are constructed by linking publications to software repositories, and RS attributes, such as README files, abstracts, and source code features are benchmarked using multiple machine learning models and embedding strategies. A methodology that integrates semantic enrichment and transformer-based models is proposed for robust RS classification. Preliminary findings highlight the informativeness of publication abstracts for classification tasks and expose limitations in current community-defined taxonomies.
View publicationBuilding an ontology for a sensitive product domain
Why the Sex Toy Ontology is an interesting test of inclusive modeling, product safety, and useful semantic infrastructure.
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