Luke Carlson
Member Of Technical Staff at Thinking Machines Lab
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolLuke Carlson is a Member of Technical Staff at Thinking Machines Labs with 14 years of experience building and deploying advanced machine learning systems, centered on multimodal and multilingual foundation models. Previously a senior ML engineer at Apple, he led cross-functional initiatives for translation and on-device privacy-preserving ML, and was an early contributor to Apple's federated evaluation and tuning efforts. His background spans startup research (designing conversational agents that seeded Replicant.ai), large-scale product engineering, and open-source back-end work enhancing developer documentation tooling. Based in New York, he blends research rigor from an MSE in Computer and Information Science with pragmatic engineering muscle—often owning end-to-end pipelines for training, fine-tuning, distillation, and evaluation. An understated strength is his track record of improving developer experience and edge-case robustness, from production ML pipelines to documentation generators.
14 years of coding experience
10 years of employment as a software developer
Master’s Degree Master of Science in Engineering (MSE) Computer and Information Science, Master’s Degree Master of Science in Engineering (MSE) Computer and Information Science at University of Pennsylvania
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (13)
php10
configurations10
url-parser10
document-generation10
url-scheme10
url-encoding10
url-validation10
url-parsing10
documents10
configuration-file10
documentation10
markdown-it9
markdown9
Programming languages (5)
Github contributions (5)
justinwalsh/daux.io
May 2014 - Aug 2014
Daux.io is an documentation generator that uses a simple folder structure and Markdown files to create custom documentation on the fly. It helps you create great looking documentation in a developer friendly way.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:14 commits in 2 months
Contributions summary:Luke focused on enhancing the functionality and usability of the documentation generation tool. Their contributions included adding the capability for breadcrumb style titles, enabling landing pages per folder, and fixing issues with URL handling and query strings. These changes involved modifications to the core functions and live processing within the documentation system, improving the overall user experience. The user also made adjustments to address edge cases and ensure the correct base path usage.
documentation-generatoron-the-flygreatdauxfolder-structure
apple/ml-mdm
Aug 2024 - Mar 2025
Train high-quality text-to-image diffusion models in a data & compute efficient manner
Contributions:18 reviews, 29 PRs, 28 pushes in 7 months
deep-learningdiffusion-modelslarge-scale-vision-modelsmachine-learningpytorch
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