Dalton Flanagan
Member Of Technical Staff at Anthropic
New York City Metropolitan Area United States
Summary
🤩
Rockstar🎓
Top SchoolDalton Flanagan is a software engineer with 11 years’ experience building developer platforms and consumer AR/AI products, most recently contributing to Claude Code at Anthropic after eight years at Meta/Reality Labs. He’s shipped components across the Llama Stack and Llama Models projects—improving CLI tooling, model metadata, and iOS agent integrations—demonstrating fluency in backend infrastructure, mobile client work, and model deployment UX. Based in the New York City area, Dalton blends production engineering with developer-experience improvements, like adding --show-all flags and refactoring distribution names to simplify tooling. He has hands-on experience bridging local and remote agent workflows and integrating vision inference into client apps, reflecting a practical focus on making ML capabilities consumable.
11 years of coding experience
8 years of employment as a software developer
B.S. Computer Science and Engineering Software Engineering, B.S. Computer Science and Engineering Software Engineering at The Ohio State University
Github Skills (23)
apim10
ios10
mobile-development10
system-configuration10
python10
command-line-interface10
mobile-application10
custom-configuration10
api10
command-line10
swift10
configurations10
yml-configuration10
continuous-deployment9
git9
Programming languages (14)
Github contributions (5)
meta-llama/llama-stack-apps
Jul 2024 - Feb 2025
Agentic components of the Llama Stack APIs
Role in this project:
Mobile Developer (iOS) & Full-stack Developer
Mobile Developer (iOS) & Full-stack DeveloperContributions:10 reviews, 8 PRs, 24 pushes in 6 months
Contributions summary:Dalton contributed to the development of the iOS calendar assistant application, including updating dependencies to use a public package and fixing build issues. They implemented a feature to choose between local and remote agents within the app. Furthermore, the user addressed inconsistencies in model names and fixed messaging functionalities. The contributions also include integrating the vision inference example, demonstrating skills in client-side integration of AI functionality.
meta-llama/llama-models
Jul 2024 - Dec 2024
Utilities intended for use with Llama models.
Role in this project:Back-end Developer
Back-end DeveloperContributions:11 PRs, 15 pushes, 6 branches in 4 months
Contributions summary:Dalton focused on defining and adding new model SKUs for Llama 2, Llama 3, and Llama 3.1 models. Their contributions involved modifying the `sku_list.py` file to include model descriptions, hardware requirements, and Hugging Face repository links for various model variants. Additionally, the user categorized chat models as instruct models and refactored code to improve model list display.
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