Michael Gasvoda is a software engineering manager and senior technical leader with nine years of experience building scalable AI, data, and cloud-native systems for enterprise and federal intelligence customers. He specializes in agentic AI and enterprise AI agent implementations—translating natural language to SQL and designing architectures that drive adoption across mission-critical environments. At Booz Allen he combined hands-on engineering, cloud ETL/ML pipelines, and proposal leadership to help win and shape over $100M in opportunities, and he now leads engineering at Scale AI. A former NVIDIA Deep Learning Institute instructor and active open-source contributor, he has improved developer tooling and robustness in projects like the widely used requests library. Comfortable operating between technical delivery and executive-facing strategy, he thrives on turning emerging generative-AI capabilities into operational solutions that scale.
9 years of coding experience
9 years of employment as a software developer
Master's degree Data Analytics Engineering, Master's degree Data Analytics Engineering at George Mason University
Contributions:6 commits, 1 PR, 5 comments in 1 day
Contributions summary:Michael focused on improving the error messages and code quality within the requests library. Their contributions included adding header name information to exception messages, refining message formatting, removing trailing whitespace, and ensuring consistent spacing. The user also modified tests to include header name information, improving the robustness of the testing suite. Finally, the user added an update to the project history to reflect their changes.
Contributions:2 PRs, 3 pushes, 7 branches in 1 month
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.
Request Free Trial
Michael Gasvoda - Software Engineering Manager at Scale AI