D Rayner
Senior Advisory Data Scientist
San Jose, California, United States
Summary
🤩
Rockstar🎓
Top SchoolD Rayner is a Senior Advisory Data Scientist based in San Jose with a decade of experience applying machine learning, search, numerical computing, and data mining to real-world enterprise problems. At IBM he has moved from hands-on applied AI and deep learning—training models on unconventional mainframe hardware and hardening ML lifecycles—to leading and managing multinational teams that automate data privacy and regulatory compliance workflows. He advises executive stakeholders on scaling compliance through contemporary AI, including LLM-driven solutions, and builds pragmatic tooling to surface and mitigate silent failures like data leakage and domain shift. Earlier work includes building a competitive search engine and DevOps contributions to the prominent melpa/melpa Emacs ecosystem, where he migrated CI to GitHub Actions and improved build debugging. His background blends a PhD in Computing Science with cross-functional product and engineering experience, enabling him to translate research-grade ideas into auditable, production-ready systems. Colleagues rely on him for principled problem decomposition and durable process improvements that scale across global organizations.
10 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computing Science, Doctor of Philosophy (Ph.D.) Computing Science at University of Alberta
Stackoverflow
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Github Skills (12)
sh10
automation10
github-ci10
script10
automations10
shell10
githubaction-workflow10
scripting10
cicd10
package-management9
build-system9
emacs-lisp8
Programming languages (6)
Github contributions (5)
melpa/melpa
May 2017 - Nov 2022
Recipes and build machinery for the biggest Emacs package repo
Role in this project:
DevOps Engineer
DevOps EngineerContributions:159 reviews, 73 commits, 2205 PRs in 5 years 6 months
Contributions summary:D focused on improving the continuous integration (CI) process for the `melpa/melpa` repository. Their contributions included migrating the CI from Travis CI to GitHub Actions. This involved modifying the CI script, enhancing it to test builds of new recipes and tooling changes, as well as correcting build failures. The user also added functionality to debug Emacs build errors during CI.
emacs-package
riscy/melpazoid
Feb 2020 - Dec 2022
A bundle of CI scripts for testing Emacs packages, primarily submissions to MELPA.
Contributions:2 reviews, 362 commits, 10 PRs in 2 years 10 months
ci-scriptsemacs-packagemelpatesting
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