I'm a Computer Science graduate and AI/ML researcher who likes turning complex ideas into useful, working systems.
Most of my work lives somewhere between Machine Learning, Knowledge Grounding, Data Analytics, and Software Engineering β with a strong interest in making AI more practical, explainable, and useful in real-world settings.
- ML and meta-learning systems
- Knowledge graph-based tools
- Research prototypes that actually run
- Data pipelines and automation workflows
- AI-assisted developer tools
- Grounding AI systems with Knowledge Graphs
- Neuro-symbolic AI
- Retrieval-Augmented Generation with structured knowledge
- LLM-assisted ML pipelines
- Reliable and explainable AI for real-world settings
- Semantic technologies for practical AI applications
Python | Java | C/C++ | SQL
PyTorch | scikit-learn | pandas | NumPy
RDF | SPARQL | PyKEEN
Git | Docker | GitHub Actions | Linux | VS Code- KGmetaSP β Knowledge Graph-based support for ML pipeline recommendation
- ExeKGLib β A platform for ML analytics based on Knowledge Graphs
- ReaLitE β Relation embedding enrichment using numeric literals
- Integrating Meta-Features with Knowledge Graph Embeddings for Meta-Learning β ESWC 2026
- ExeKGLib: A Platform for Machine Learning Analytics Based on Knowledge Graphs β ISWC 2025
- ReaLitE: Enrichment of Relation Embeddings in Knowledge Graphs Using Numeric Literals β ESWC 2025
I like coffee experiments, DIY ideas, and occasionally overthinking small details until they become a project.
- LinkedIn: linkedin.com/in/antonisK
- GitHub: github.com/AntonisKl
- Website: antoniskl.github.io
- Google Scholar: scholar.google.com/AntonisKlironomos
- Email: antonisklironomos@gmail.com




