Ryan Volum
Group Product Manager - AI at Microsoft AI
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolRyan Volum is a Group Product Manager focused on AI with 11 years of engineering and product experience building and shipping LLM-driven products and cloud-native systems. Currently at Microsoft AI after tuning and evaluating conversational models at Inflection.AI, he sits at the intersection of models and product, turning research into reliable developer-facing experiences. His background as a Principal Software Engineer in the Office of the CTO and hands-on contributions to projects like Dapr quickstarts and Microsoft’s prompt-engine show deep full-stack chops across Node.js, Python, C#, React and prompt engineering. He combines product strategy with practical engineering—having prototyped early LLM applications, earned patents, and improved developer tooling such as a Codex-based CLI—so he’s as comfortable writing prompts and prompt engines as he is designing developer platforms. Based in Seattle, he brings a pragmatic blend of research fluency and shipping discipline that accelerates LLM adoption in production.
10 years of coding experience
13 years of employment as a software developer
Bachelor's degree Computer Science Economics, Bachelor's degree Computer Science Economics at Vanderbilt University
Spanish, Italian, English
Stackoverflow
53reputation
16kreached
1answer
0questions
Github Skills (38)
javascript10
python10
command-line-interface10
microservices-application10
dapr10
prompt-engineering10
code-generation10
jestjs10
command-line10
nodejs10
microservices10
pubsub10
react10
cli10
container9
Programming languages (6)
Github contributions (5)
microsoft/Codex-CLI
Feb 2022 - May 2022
CLI tool that uses Codex to turn natural language commands into their Bash/ZShell/PowerShell equivalents
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:2 reviews, 27 commits, 1 PR in 3 months
Contributions summary:Ryan primarily focused on improving the user experience and functionality of the Codex CLI tool. They removed unnecessary requirements, such as the need for an org ID, and implemented features like multi-turn conversations. The user also made changes to the prompt file management, including clearing and saving contexts. Additionally, the user contributed to the project's setup and cleanup scripts for PowerShell.
codexzshellpowershellbashcli-tool
microsoft/prompt-engine
Jun 2022 - Aug 2022
A library for helping developers craft prompts for Large Language Models
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:3 reviews, 24 commits, 4 pushes in 1 month
Contributions summary:Ryan primarily contributed to the `prompt-engine` library, focusing on the core implementation of the `CodeEngine`. They implemented the `CodeEngine` class, which included functionalities for crafting prompts for code generation models, managing interactions, and truncating prompts. The commits demonstrate the development of a prompt engine, and its integration with a test suite, for creating prompts from natural language descriptions. The user also refactored and re-implemented the `PromptEngine` to enhance the prompt creation process.
pytorchnlplarge-language-modelspromptslanguage-model
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.