Chan Le Van is a seasoned Full Stack Developer based in Dublin with 10 years of experience building scalable web and data-driven applications. He blends front-end and back-end expertise with practical data science skills, demonstrated by contributions to the well-regarded AmpliGraph project where he extended dataset loaders and tightened evaluation protocols for knowledge graph research. Comfortable moving between API design, unit testing, and documentation, Chan brings a pragmatic approach to ensuring correctness and reproducibility in production and research codebases. His background suggests a strong emphasis on integration work—gluing datasets, models, and services together—rather than purely theoretical ML research. Colleagues would find him reliable on both feature delivery and the under-the-hood plumbing that keeps systems robust. He is motivated by projects that sit at the intersection of software engineering and applied machine learning.
Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
Role in this project:
Back-end Developer & Data Scientist
Contributions:70 commits, 2 PRs, 51 pushes in 11 months
Contributions summary:Chan primarily contributed to the development and extension of the YAGO3-10 dataset loader API, including adding unit tests and documentation. They implemented the loading of different knowledge graph datasets (YAGO3-10, WN18RR) and added test cases to ensure the correctness of dataset loading. Further, the user updated the evaluation protocol to include filtering of unseen entities.
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