Legacy Transformation Enterprise Architecture, Data And AI
Denver Metropolitan Area United States
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Summary
👤
Senior
🎓
Top School
Godwin Effiong is a technology leader with 13 years of experience driving legacy transformation, enterprise architecture, data and AI programs for global organizations from AWS to Pegasystems. He blends hands-on engineering and cloud strategy—having led customer solutions and cloud professional services at AWS and HPE—with product-focused data platform delivery most recently at Procare and Duck Creek. An OpenStack foundation contributor and former Nova/Trove team member, he pairs deep cloud-native credibility with practical migration and integration experience. Based in the Denver area, he combines an MS in Computer Science and AI-focused graduate study with an MBA to bridge technical innovation and business outcomes. He also contributes to open-source usability, improving Linux installation documentation for the widely used Kivy UI framework, reflecting attention to developer experience as well as architecture.
12 years of coding experience
8 years of employment as a software developer
Artificial Intelligence Graduate Program, Machine Learning, Robotics, Artificial Intelligence Graduate Program, Machine Learning, Robotics at Stanford University School of Engineering
Master of Business Administration (MBA), Master of Business Administration (MBA) at Gies College of Business - University of Illinois Urbana-Champaign
Lean Six Sigma Green Belt, Business Statistics, Lean Six Sigma Green Belt, Business Statistics at Ira A. Fulton Schools of Engineering at Arizona State University
Master of Science (MS), Computer Science, Master of Science (MS), Computer Science at University of Colorado Boulder
Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS
Role in this project:
Technical Writer
Contributions:5 commits, 1 PR in 1 day
Contributions summary:Godwin's contributions center around documenting the installation process for the Kivy framework on Linux systems. They focused on adding and refining comments and instructions to aid users in troubleshooting potential issues with the "ffmpeg" package, referencing alternative package names or PPA installation instructions. Their work involved updating installation instructions within the relevant documentation file, highlighting their dedication to improving the user experience during setup.
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