Prosperity Paul

Prosperity Paul is a dedicated software engineer with a strong background in AWS and Google Cloud Platform solutions.

With a focus on creating a cooperative and inspiring work environment, he thrives on solving clients' business challenges through innovative software implementations.

His expertise spans a wide range of technologies including Big Data/BI tools like Hadoop, Spark, DynamoDB, and Elastic Search, as well as IoT solutions using AWS IoT and Greengrass, MQTT, and C++.

Additionally, Prosperity Paul excels in backend engineering utilizing serverless platforms on AWS, with proficiency in Python and NodeJS.

He also has skills in machine learning, working with AWS SageMaker, TensorFlow, Keras, and PyTorch to develop advanced AI models.

Prosperity Paul's educational background includes a Bachelor of Engineering in Telecommunications Engineering from St. Joseph College of Engineering and a Nano degree in Machine Learning from Udacity.

His professional journey includes roles at renowned companies such as Google, IBM, and a specialization in AWS IoT, Big Data, and Machine Learning at various organizations.

With a passion for continual growth and international experiences, Prosperity Paul embraces challenges and strives to expand his horizons in the tech industry.