# Yonatan Lourie

> AI Researcher at Tavily building web infrastructure for agents. MSc in Statistics & Data Science from Tel Aviv University (Dead Sea Scrolls authorship attribution with NLP and Graph Neural Networks). This site collects writing on machine learning, clustering, NLP, and ML engineering.

## Blog

- [How you can run the same Python distribution on EKS and AWS Lambda (using UV)](https://yonatanlou.github.io/blog/how-you-can-run-the-same-python-distribution-on-eks-and-aws-lambda/how_you_can_run_the_same_python_distribution_on_eks_and_aws_lambda/): How I solved Python dependency issues when deploying the same ML model to both Kubernetes and AWS Lambda using awslambdaric.
- [Things I learned in my research roles over the last 5 years](https://yonatanlou.github.io/blog/things-that-i-learned-in-my-latest-research-roles/): Things I learned in my research roles over the last 5 years
- [Unsupervised text clustering using GNN (Graph Auto Encoder)](https://yonatanlou.github.io/blog/unsupervised-text-clustering-gnn/unsupervised-gae-clustering/): Unsupervised text clustering using GNN (Graph Auto Encoder).
- [Evaluating Hierarchical Clustering Beyond the Leaves 🌳](https://yonatanlou.github.io/blog/Evaluating-Hierarchical-Clustering/hierarchical-clustering-eval/): Hierarchical clustering evaluation with the Dasgupta cost.
- [Jaccard index for unsupervised clustering](https://yonatanlou.github.io/blog/jaccard-index-unsupervised/Jaccard_index_for_unsupervised_clustering/): Why Jaccard Index (as implemented in sklearn.metrics) will not work in unsupervised clustering, and how to implement it.
- [How to use the Qumran scrolls for NLP tasks using text-fabric](https://yonatanlou.github.io/blog/data-pipeline-for-qumran-scrolls/data-pipeline-for-the-qumran-scrolls-using-text-fabric/): In case you got curious and want to do some cool stuff with one of the ancient texts ever found.
- [Moving from Jekyll to Eleventy.](https://yonatanlou.github.io/blog/firstpost/): Why i decided to move from Jekyll to Eleventy.

## Pages

- [About](https://yonatanlou.github.io/about/): who I am and what I work on.
- [Now](https://yonatanlou.github.io/now.html): what I'm focused on at the moment.
- [Projects](https://yonatanlou.github.io/projects/): selected projects and code.
- [Links](https://yonatanlou.github.io/Links/): things worth reading and following.

## Optional

- [Full text of all posts](https://yonatanlou.github.io/llms-full.txt): every post concatenated as raw Markdown.