Hi, my name is
Temitope Odewole

More about me

Furthermore, coming from a highly technical background career, I have strong skills in planning, designing, managing, and maintaining communication systems and networks (such as Cloud-based networks, Public Switched Telephone networks, Radio Networks, Enterprise Networks, Local Area Networks (LAN), Wide Area Network(WAN), etc.) and technical documentation through my degrees, training(Juniper and AWS) and work experiences in Telecommunications and Network Engineering. I have an in-depth knowledge of how the internet works, and I can configure and set up some networking equipment such as routers, switches, firewalls, etc. Also, I have working knowledge of Linux OS, writing scripts in Python and Shell. I have experience troubleshooting network issues like slow performance, Connection errors, Duplicate IP addresses, IP address Exhaustion, etc. I am already using all these skills in a DevOps/CloudOps role and cloud computing projects and am still willing to add value to a forward-thinking and reputable company.

My projects

Smart Brain Project

Smart Brain is a face recognition app for detecting human faces in any given scenario or image by displaying a box around it. It is a fully responsive web app that can function on many platforms such as laptops, smartphones, etc. without breaking. It uses face recognition APIs; react as frontend; Nodejs and Express for backend; and PostgreSQL as database. The project was successfully completed and deployed on Heroku.



Set Up Website Frontend Using AWS CloudFormation Stack

The creation of the whole infrastructure for website frontend hosting was automated using AWS CloudFormation stack. This allows provisioning of infrastructure as a code and future reusability.



Design Of a Smart Attendance System

A prototype design that can automatically take the attendance of students in a classroom was developed using LAMP stacks (on AWS) and Raspberry Pi. This was done by automating the process of mapping the MAC address of mobile devices with their respective received signal strength through an IoT device (Raspberry Pi). The same concept can be applied in designing a small wearable tracking device for people under enforced isolation (e.g., in hotel quarantine for suspected COVID-19 carrier). The prototype design was presented and accepted at International Telecommunication Networks and Application Conference (ITNAC 2020).

Contact

Address
Melbourne, Australia
Email
callonyemmo@gmail.com