Academic Profile
Interdisciplinary Research Profile
Independent researcher with an interdisciplinary background in applied linguistics, multilingual education, software engineering, and digital learning. My work examines how language, cognition, data, and computational systems shape the construction, organisation, and communication of knowledge in increasingly technology-mediated environments.
My research interests include natural language processing, human-centred and explainable artificial intelligence, knowledge representation, data integration, computational thinking, and educational technology. I am particularly interested in the development of multilingual intelligent systems that remain interpretable, context-sensitive, and responsive to human learning and decision-making.
Drawing on experience in linguistic analysis, academic writing, programming, and education, I connect theoretical perspectives from applied linguistics and cognitive learning with practical methods from software development and data-oriented research. This interdisciplinary approach supports the design and critical evaluation of digital systems that combine technical capability with semantic clarity, methodological transparency, and social responsibility.
My Workflow
My work connects language, cognition, digital education, knowledge representation, and intelligent systems design. I am especially interested in how multilingual and explainable AI can support interpretation, learning, and responsible decision-making.
Research Background
Interdisciplinary researcher with a background in applied linguistics, multilingual education, software engineering, and digital learning.
I focus on multilingual natural language processing, data integration, knowledge extraction, explainable AI, educational technology, and intelligent information systems.
Research Interests
Human-centred AI Explainable AI Natural language processing Multilingual language technologies Knowledge representation Knowledge extraction Information organisation Data integration Data quality Intelligent information systems Language and cognition Conceptual development Computational thinking Programming education Grammar awareness Digital learning Responsible AI Blockchain systems Emerging digital infrastructures
Skills
JavaScript TypeScript React Vue Nuxt Node.js Python HTML & CSS MongoDB Blockchain Applied Linguistics NLP Computational Thinking Digital Education
Open Source Contributions
Planned Contribution Focus
I am currently reviewing open-source contribution opportunities in AI tooling, documentation, and learning resources, with particular interest in NVIDIA- and OpenAI-related ecosystems.
- Developer tools and educational resources for AI learning
- Documentation, examples, and contribution pathways
- Applied AI, multilingual systems, and human-centred technology