About
Meet Ochu Williams, a tech enthusiast and problem solver who is interested in leveraging on cloud infrastructure to provision resources that will yield ground breaking solutions to persistent problems and make human life more adorable.
Contact Details
Email:
williamsochu001@outlook.com
Call:
+234-7064793072
Skills
Here is an inforgraphic highlighting my proficiency with cloud tools.
Resume
Education
Udacity : Cloud Developer
May 2022 - Aug 2022
Udacity Online Training
Setup and provision cloud resources while sticking to best practices. Deploy monolithic applications on AWS. Decouple Monolithic Applications into highly scalable microservice architectures.
Google IT Automation with Python Professional
Mar 2023 - Aug 2023
Google Professional Certificate
Development of scalable python programs. Automation of tasks with python scripts. The use of python for Configuration Managment. The use of Git and Github for Version Control
University of Uyo, Uyo, Akwa Ibom
2016 - 2023
Bachelor of Engineering
Attained a Bachelor of Engineering Degree in Computer Engineering. Second Class honours with a ranking of 4.10 out of 5.0
Professional Experience
Information Technology Support(Intern)
Apr 2021 - Aug 2021
Ikoyi, Lagos
- Managed the companys Local network infrastructure to ensure 99% efficiency
- Setup VPN to provide additional network security
- Managed and secured wireless network infrastructure to maintain 99% reliability
Credentials
- Microsoft Azure Fundamentals (AZ-900)
- Microsoft 365 Fundamentals (MS-900)
- Udacity Nano-Degree; Cloud Developer
Projects
Udagram Image Sharing App
-Nodejs application
An image processing application, which started as a Monolith application (deployed on AWS Elasticbeanstalk) and then decoupled into a microservice architecture using CI/CD pipelines (deployed on AWS EKS) with an Nginx reverse proxy
Udagram Image Sharing AppImage Filter Web_App
-Nodejs, AWS Elasticbeanstalk
This is a simple cloud application that allows users to register and log into a web client, post photos to the feed, and process photos using an image filtering microservice. The project is split into three parts which includes, a simple frontend, backend built with RestAPI and a Nodejs application which runs a script to preprocess the images
Image Filter Web_App