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Senior Software Engineer Full time
Shyft Power Solutions, USA
Oct'2021 - Sep'2022
10 months counting
I work as a senior react native engineer at Shyft Power Solution where I serve as the tech lead on the flexview mobile application. Which helps users make payment towards energy, monitor their energy
con-sumption and how much they are contributing to the adoption of renewable energy
Accomplishments
● Implemented web payment portal (https://flexview-payments.shyftpower.com/)
● Implemented Transfer Payment on the mobile application. This service helps users to transfer their
energy credit to pay estate community fees
(https://apps.apple.com/app/apple-store/id1?m=8 and http://play.google.com/store/apps/details?id=com.submeteringresident)
● Currently working on the implementations of a service that will enable users see the source source
of power in their facility in almost real time working on some backend ticket with NestS and more on the mobile application with react native
My most exciting project is Flexview Resident Mobile Application. Flexview Resident Mobile Application has a React Native frontend and Python Django Bankend it can be found on the Apple App Store using the following url https://apps.apple.com/app/apple-store/id1535073309?mt=8 and on the Google Playstore on the following URL https://play.google.com/store/apps/details?id=com.submeteringresident. The Flexview Resident Mobile App helps users make payment towards energy the use in their home or offices, users can also use the React Native mobile App to monitor their energy consumption. Also Shyft is uses the app to inform the users of how much they are contributing to the adoption of renewable energy because the Python backend app pulls information from various sensors to know the source of the power, I worked on the backend and frontend of the application. The part that makes this project my best accomplishment is a feature we added, called fuel theft detection. This feature allows users to know when fuel leaves the power generator abnormally. When this feature was suggested, the company wanted to employ the service of a neural network expert but I solved the problem simply by using mathematical correlation following one on dare project I did in the past, you can find the description of the process I used here https://drive.google.com/file/d/1EEFHNZNBt_XEo-Jjo1wjkBsd_ssZbRle/view?usp=sharing in the document I prepared to explain my thought to my team members at Shyft Power Solution.