I’m a data scientist specializing in Machine Learning. The purpose of this page is to serve as a central point of reference for talks and blogs I write. Furthermore, any materials that I reference in my talks will be made available here.
Links to associated github repos (and live demos if available) are located in blog articles.
CodeSearchNet Challenge: Evaluating the State of Semantic Code Search: by Miltiadis Allamanis, Marc Brockschmidt, Hamel Husain, Ho-Hsiang Wu, Tiferet Gazit GitHub Repo
How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning. (Related: GitHub engineering blog article, Live demo)
GitHub Universe 2019: “Machine Learning Ops With GitHub Actions & Kubernetes”. Video
TensorFlow World, 2019: “Automating your developer workflow on GitHub with Tensorflow”. Slides
Data Skeptic Interview, Jan 2018: “Semantic Search at Github”.