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Achievements

Achievement: YOLOAchievement: QuickdrawAchievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor

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AntonisKl/README.md

Hey, I'm Antonis 👋

I'm an AI Engineer and industrial PhD candidate focused on building AI systems that combine LLMs, agents, RAG, Graph RAG, knowledge graphs, and data-driven workflows.

I like working on systems that turn complex data and knowledge into useful products, internal tools, and decision-support workflows. My background combines software engineering, data analysis, knowledge-centered AI, and machine learning for enterprise use cases.

🚀 What I build

  • LLM-based systems with RAG and Graph RAG
  • AI workflows that connect LLMs, structured knowledge, and enterprise data
  • Agentic workflows and AI-assisted tools for business and engineering tasks
  • Knowledge graph-based systems for grounding AI with structured knowledge

🛠️ Tech stack

Python | Haystack | PyTorch | scikit-learn | pandas | NumPy
Neo4j | RDFLib | PyKEEN | RDF | SPARQL
Azure | Google Cloud | MongoDB | SQL | Bash | Java | C/C++
Docker | Git | GitHub Actions | Linux | VS Code

📌 Featured work

  • SAP transformation copilot — RAG and Graph RAG workflows for enterprise knowledge exploration
  • KGmetaSP — Knowledge graph-based support for ML pipeline recommendation
  • ExeKGLib — A platform for ML analytics based on knowledge graphs
  • ReaLitE — Relation embedding enrichment in knowledge graphs using numeric literals

📚 Selected technical outputs

  • Integrating Meta-Features with Knowledge Graph Embeddings for Meta-Learning — ESWC 2026
  • ExeKGLib: A Platform for Machine Learning Analytics Based on Knowledge Graphs — ISWC 2025
  • ReaLitE: Enrichment of Relation Embeddings in Knowledge Graphs Using Numeric Literals — ESWC 2025

☕ Outside code

I like coffee experiments, DIY ideas, and occasionally overthinking small details until they become a project.

📫 Let's connect

Pinned Loading

  1. boschresearch/ExeKGLib boschresearch/ExeKGLib Public

    Python library for creating, validating, and executing machine learning pipelines represented as Executable Knowledge Graphs.

    Python 22 3

  2. boschresearch/ReaLitE boschresearch/ReaLitE Public

    A knowledge graph embedding method for enriching relation representations with numeric literal information.

    Python

  3. Entity-Alignment-for-Art Entity-Alignment-for-Art Public

    Python 2

  4. Amsterdam-Route-Planner Amsterdam-Route-Planner Public

    Full-stack web application for the visualization of road attributes and route planning in Amsterdam using area avoidance, focusing on the needs of the elderly and vulnerable people.

    Python 3

  5. ionic-Incoming-Call-Recognition ionic-Incoming-Call-Recognition Public

    A cordova plugin for detecting the phone number when the phone is ringing.

    Java 5 2

  6. Amsterdam-Metro-Crowdedness-Prediction Amsterdam-Metro-Crowdedness-Prediction Public

    The aim of this full-stack project is to predict with RandomForest and visualize crowdedness for metro stations of Amsterdam by using external factors.

    Python 1