Teaching
📚 Courses
These are courses I’ve led or taught:
Rapidly Improve AI Products With Evals: A 4 week intensive course on how to improve LLM applications with evals.
Mastering LLMs: A survey course on LLMs, covering topics like evals, RAG, fine-tuning, prompt engineering, and more. (July 2024)
AI Essentials For Tech Executives: A course for tech executives on AI. (January 2025)
🎤 Talks
These are a list of talks I’ve given:
How to Construct Domain Specific LLM Evaluation Systems, AI Engineering World’s Fair, June 2024.
Building Real-World LLM Products with Fine-Tuning, TWIML AI Podcast, June 2024.
Evaluating and Productionizing LLMs, Vanishing Data Podcast, Nov 2023.
Innovating on Software Development, Data Council, March 2023.
AutoML, Literate Programming, and Data Tooling Cargo Cults, Vanishing Gradients Podcast with Hugo Bowne Anderson, July 2022.
How to evaluate ML Tooling: Guest Lecutre for Stanford CS 329S ML Systems Design, Feb 2022. Slides, Video
JupyterCon 2020: “fastpages - A new, open source Jupyter notebook blogging system.”. Slides, Video.
Gradient Descent by Weights & Biases: A discussion on Automated Machine Learning, CodeSearchNet, GitHub Actions and MLOps: Video
GitHub Universe 2019: “Machine Learning Ops With GitHub Actions & Kubernetes”. Video
TensorFlow World, 2019: “Automating your developer workflow on GitHub with Tensorflow”. Slides, Link
Data Skeptic Interview, Jan 2018: “Semantic Search at Github”.
KubeCon 2018, “Natural Language Code Search With Kubeflow”. Slides, Video
KDD, London August 2018: Hands on tutorial, “Feature Extraction and Summarization With Sequence to Sequence Learning”. Tutorial-site
Ml4all, Portland May 2018: “How to Create Magical Data Products Using Sequence-to-Sequence Models”. Slides, Video
ODSC, San Francisco Nov 2017: “Advice For New And Junior Data Scientists” Video