Below are selected projects that best represent my research and practical experience, followed by a full timeline of additional coursework and earlier projects. Each item links to a dedicated page with more details.
Research · 2023
Investigated complex Knowledge Graph Question Answering (KGQA) using end-to-end language models. Developed text-to-SPARQL translation methods and answer verbalization techniques, and produced a taxonomy and template-based baselines. This work strengthened my expertise in structured information access and formal query generation, providing a research foundation for reasoning-oriented NLP problems.
Thesis
NLPSPARQLBART
Status: Completed
Research · 2023-2024
Extended a competition solution (DBLP-QUAD) into an interactive scholarly QA system where users can review and edit generated SPARQL queries before execution. The project produced a CEUR workshop paper and a SIGIR 2025 demo, and provided hands-on experience with model→query pipelines and iterative user–model refinement.
ISWC Challenge
Role: Research Assistant
LLMsSPARQLUI
Status: Published
Industry · 2024–Now
KG-backed retrieval and fact-consistency pipeline designed to improve context retrieval in deployed chatbot systems. GraphRAG served as a practical testbed for reliability-focused retrieval and verification ideas while being industrialised.
Role: AI Researcher
PythonNeo4jRAGLLMs
Status: Industrialisation
Personal · Ongoing