Ebube Chuba

Full Stack Engineer at Nkọwa okwu

United States
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Summary

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Ebube Chuba is a Full Stack Engineer and serial founder with 11 years of experience building AI-infused platforms, developer tools, and production web services. He has led engineering from prototype to pilot as Technical Director at CHIIN and served as Lead AI Platform Engineer at Virtualitics, blending front-end React/TypeScript work with backend, CI/CD, and infrastructure design. As Co-Founder and Head of AI at Nkọwa okwu he drove backend and auth systems for a language-focused API, and his contributions to the Adversarial Robustness Toolbox show practical ML security and SVM attack expertise. Now balancing leadership as CEO of Cabban with engineering at Ambience Healthcare, he moves fluidly between hands-on implementation and strategic product direction. A Brown CS graduate and self-described “general purpose thinker,” Ebube pairs curiosity about algorithmic robustness with a knack for shipping reliable, secure systems.
code11 years of coding experience
job6 years of employment as a software developer
bookHigh School, High School at North Carolina School of Science and Mathematics
bookBachelor’s Degree Computer Science Rationality and Thought (Independent Concentration), Bachelor’s Degree Computer Science Rationality and Thought (Independent Concentration) at Brown University
languagesEnglish, Igbo
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Stackoverflow

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Github Skills (19)

debugging10
debug10
python10
apidoc10
back-end-development10
authentication10
machine-learning10
user-authentication10
adversarial-machine-learning10
api10
backend10
firebase10
javascript9
mongodb-database9
scikit9

Programming languages (7)

TypeScriptMDXJavaJavaScriptHTMLJupyter NotebookPython

Github contributions (5)

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Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
Role in this project:
userBack-end Developer
Contributions:44 reviews, 494 commits, 31 PRs in 2 years 8 months
Contributions summary:Ebube's contributions center on modifying and debugging existing code for a machine learning security library, specifically in an adversarial robustness toolbox. The focus of the contributions is the correction of accuracy calculations within example code and in adding support for SVM-based attacks. This suggests an intermediate to expert level familiarity with machine learning algorithms, as well as a working knowledge of testing and debugging code.
extractionpythonfairness-mlrobustnessadversarial-machine-learning
nkowaokwu/igbo_api

Nov 2020 - Nov 2020

An API exposing Igbo words, definitions, and more
Role in this project:
userBackend Developer
Contributions:22 reviews, 17 commits, 12 PRs in 5 days
Contributions summary:Ebube primarily focused on implementing backend features and infrastructure for the Igbo API. Their contributions include adding functionality to list users, implementing authentication middleware, and modifying the editor router. They also made changes to the server configuration and user controllers to improve system performance and integrate with Firebase. The user's work centers around authentication and authorization processes within the API.
dictionaryapiigbo-languagedictionary-apiigbo-api
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Ebube Chuba - Full Stack Engineer at Nkọwa okwu