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Kareen AnyadikeKA
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Kareen Anyadike

@kareenanyadike

AI Engineer Intern at Ernst & Young who engineered AI workflow automation and built a FastAPI resource API.

Nigeria
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At Ernst & Young, I engineered and deployed low-code and agentic AI solutions using Microsoft Copilot Studio and Azure AI Foundry, integrating foundation models, custom tools, and Azure OpenAI to automate workflow orchestration.

I also designed and built a RESTful Online Library Resource API with FastAPI and PostgreSQL. It used SQLAlchemy, Pydantic validation, JWT/OAuth2 authentication, and Docker containerization.

For internal AI platforms, I automated API testing and role-based access control validation with Postman test scripts, data-driven Collection Runner suites, and Newman analytics. I also streamlined financial reporting with Excel Office Scripts and automated weekly Power Automate flows.

In my projects, I built an educational resource platform for searching and managing texts, and a cross-platform todo app that I compiled into an Android application with Apache Cordova. I’ve also facilitated Copilot training on prompt engineering, responsible AI, and automated workflows, and built a Copilot Studio agent for waste classification and recycling connections.

Experience

Work history, roles, and key accomplishments

Ernst & Young logoEY

AI Engineer Intern

Jan 2026 - Jun 2026 (5 months)

Engineered and deployed low-code/agentic AI solutions using Microsoft Copilot Studio and Azure AI Foundry, integrating foundation models and custom tools. Designed and built a RESTful Online Library Resource API using FastAPI and PostgreSQL, and automated API testing and RBAC validation across internal AI platforms.

CI

AI Training Facilitator & Workshop Lead

Corporate Training/ Community Initiative

Conducted interactive training sessions for corporate clients on maximizing office productivity through Microsoft Copilot for Word, PowerPoint, Teams, and Outlook. Taught core AI competencies including prompt engineering, responsible AI usage, and automated workflow management.

Education

Degrees, certifications, and relevant coursework

Babcock University logoBU

Babcock University

Bachelor of Science, Software Engineering

Grade: 4.79/5.00

Pursuing a Bachelor of Science in Software Engineering with a GPA of 4.79/5.00, expected to graduate in August 2027.

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