Lovum Group operates as a dedicated Project Consultation Organization, focusing on overseeing various project phases from inception through to completion. I have developed a comprehensive Full Stack Application that orchestrates their project management, budget oversight, and progression tracking for each project stage.

I was tasked with creating a machine learning-powered backend API for a company dedicated to offering secure solutions for real estate acquisition, financing, and property management, catering specifically to the distinguished African Diaspora community.

AskAI emerged as an innovative startup following the triumphant conclusion of a project at No-Gear. In my role as a Full Stack Developer, I am engaged in integrating the bot development workflow into a web application for the project.

I have engineered and deployed sophisticated machine learning algorithms and computer vision systems to tackle contemporary challenges. I created a Scheduler Optimizer that arranges car production schedules according to worker efficiency, streamlining the car manufacturing timeline. Additionally, I developed a RULA Score Detector to promote correct ergonomic practices among workers, thereby boosting safety and productivity. Furthermore, I constructed a comprehensive full-stack platform to consolidate all the Machine Learning models within a unified application.

Based in Dubai, the software house’s project, Import.io, specializes in large-scale web data extraction. This organization is adept at harvesting and processing web information efficiently. I have contributed to this project by working on it.

Major in Computer and Information Systems Engineering.

Cumulative GPA: 3.63/4.0

Relevant Coursework: Data Structures and Algorithms, Software Engineering, Artificial

Intelligence, Machine Learning

Optimal Robitic ARM Gripper

In my final year project, I created a robotic arm designed to handle rigid objects by determining their six-dimensional pose. This pose is assessed using a pose estimation model trained on particular objects. Additionally, the project encompassed the kinematic analysis of the robotic arm and its operation through an Arduino controller.

Developed a chat application using NextJs and DotNet for a client who wanted a fast and scalable solution for online communication. The chat application allows users to register with their email and password, create a profile with their name and avatar, and chat with their friends in real-time. The chat application also supports file sharing, emoji, typing indicators, and message history. The front end was developed with NextJs, a React framework that enables server-side rendering and static site generation. The backend was developed with DotNet, a cross-platform framework that provides a rich set of libraries and tools for building web applications. The chat application uses Pusher, a cloud service that handles the WebSocket connections and the real-time messaging functionality. The chat application is hosted on Vercel, a platform that optimizes the deployment and performance of NextJs applications.

Developed a comprehensive Amazon-like platform utilizing Next.js on the frontend and Express.js on the backend, demonstrating expertise in the MERN stack. Integrated essential e-commerce features, offering practical experience in building scalable and responsive web solutions.

Crafted a sophisticated video streaming service with functionalities akin to Hulu, employing React.js for an interactive frontend, Express.js for server-side operations, and the TMDB API for a rich content library. Showcased skill in engineering captivating user interfaces and smooth content streaming within a React-Express framework.

Restaurant Management App

Engineered an advanced Restaurant Management Application using React.js for a lively frontend and Node.js for a robust backend. The app features intuitive order handling, efficient table reservation, and comprehensive inventory management, highlighting proficiency in developing streamlined, user-centric systems for the restaurant sector.

Inventory Management System

Constructed a comprehensive Inventory Management System as a web application, utilizing Django Python for backend operations and MySQL for effective data storage. The system features intuitive interfaces and optimized inventory monitoring, exemplifying expertise in full-stack development with an emphasis on dependability and data handling.