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• Developed image-guided surgery process for lung cancer treatment using deep learning, machine learning (AI), and augmented reality.

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• Segmented CT images, generated 3D models, and registered models to patients in real-time AR environment.

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• Utilized LiDAR camera and expertise in computer vision, medical image processing, and human-computer interaction.

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• Enhanced skills in C#, Unity game engine, Pytorch, and Matlab.

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Accomplishments

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● Implemented web payment portal (https://flexview-payments.shyftpower.com/)

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● Implemented Transfer Payment on the mobile application. This service helps users to transfer their

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energy credit to pay estate community fees (https://apps.apple.com/app/apple-store/id1535073309?m=8 and http://play.google.com/store/apps/details?id=com.submeteringresident)

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● 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.

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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.

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I joined the company as a contractor to convert some manager related services the have on their web application swept to be available on the mobile app. I also worked on some features on their backend.

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Accomplishments

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● Connecting their application to Quickbooks using python django

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● Converting some web only features to be available on the mobile application using react native

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In this company I worked as a fullstack developer.

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Accomplishments

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● I maintained the callphoneng.com website with I wrote in pure HTML, CSS and JavaScript on the recommendation of the CTO

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● I lead the integration of most of the service providers which Callphone connects to like DSTV, universal mobile recharge integration and the airvend mobile app development using python django and react native respectively

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I worked as a teaching and research assistant in this university. I joined the school because I had some research ideas that I believe the educational environment will help me accomplish some of which I did accomplish. I also had the opportunity to teach undergraduates in the department of computer engineering.

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Accomplishments

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● Published an loT-Based Method to Enhance Testing Frequency Against COVID-19 (DOI:10.1109/CYBERNIGERIA51635.2021.9428816)

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● Taught in a couple of python, javascript and C++

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I worked as an end to end engineer working on both hardware and softwares

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Accomplishments

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● developed an automated voice user manual for the company using Alexa and AWS Lambda (bit.ly/2FndapJ)

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● I developed Mobile applications with ReactNative and Web Applications with ReactJS

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● I worked on backend applications with little ruby on rails and most time on the python django

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backend

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● I developed consumer electronic products firmware with C/C++

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● I developer a couple of Control4 driver with LUA

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In this position I was working end to end both on software and hardware. I got introduced to computing in general.

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Accomplishments

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● Embedded Systems Design; I Designed and developed a power management system with hardware using Arduino and mobile applications with react native

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● I wrote a Control4 Driver with LUA programming language

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Documentation; Wrote manual and description of electronic component for microscale.net Programming; Wrote libraries/drivers used to integrate components to different microcontrollers Teaching; Taught higher school student Arduino platform

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Accomplishments

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● Wrote manual and description of electronic component for microscale.net

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● Wrote libraries/drivers used to integrate components to different microcontrollers

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● Taught higher school student Arduino platform during the holiday