obioma Nwosu

1. Convert Monolith web applications to full Microservice architectures 2. Build and test RESTFUL API's using Node.js, Postman 3. Implement Clean Code Architecture alongside Microservices 4. Consume API's to build cross-platform mobile Applications using React-native 5. Apply Machine learning and deep learning techniques to train a neural network on Pose-Estimation 6. Dockerize applications and host on AWS 7. Implement CI/CD as well as end to end / Acceptance Test strategies

Help maintain and develop web applications, convert monolithic systems to micro-service architecture. Using Javascript, Vue-js, Sass CSS, HTML5 at the front end, and Asp.net core with f# at the back end.

In collaboration with the uni-Klinikum Erlangen, we Developed a cross-platform mobile application using react-native, TensorFlow Lite, and Posenet. Deep learning was used for pose estimation and pose assessments, to build a yoga mobile application.

Helped Maintain and manage the FAU video website, in a full stack capacity. Also gained practical Knowledge of the Linux Operating system, Git, and opencast

Automatic Generator Question paper System (GQS) TECHNOLOGIES USED Python, Django framework, Javascript ES5, implementing "FIsher-yates" shuffle algorithm and react Js in deployment and development of a RestFul API.

Medical Engineering and Artificial intelligence Mathematics Computer Science and software Development

Mathematics Computer science