I'm passionate about AI, machine learning, and data science. I thrive on learning and sharing new technologies.
Right now, I'm at Neo4j, where I get to work on cool projects with GenAI and graph databases. Whether it's developing coded examples, creating demo apps, writing blogs, supporting sales & solutions, or delivering technical presentations, I love sharing knowledge and helping others leverage these tools.
Off the clock, you'll find me tinkering with new projects, staying updated on the latest AI trends, or trying to stay young by lifting progressively heavier things (powerlifting). Feel free to check out my projects below or connect with me if you want to chat!
- Graph-ND (Knowledge in Graphs, not Documents) - a new Python project for building end-to-end GraphRAG systems with a simple, intuitive API: code
- End-to-end example for building a customer & retail analytics agent that leverages mixed data with GraphRAG: dev guide & code
- Example application for improving customer experiences with AI & GraphRAG: dev guide & code
- Boosting Q&A accuracy With graph databases & graph neural networks (GNNs) + LLM fine-tuning (G-Retriever): code
- Hands-on AI & graphs workshop, run globally for in-person events with prospects & customers
- Demo application for GraphRAG patterns: code & webinar recording
- Short videos:
- Graph Data Science for fraud detection: blog & code
- Graph Data Science for recommendation systems: blog & code
- Graph machine learning overview (blog)
- A collection of technical resources for Graph Neural Networks (GNNs) with Neo4j Graph Data Science including graph feature engineering for improving model performance in inductive and transductive settings.