I am a University of Lincoln graduate in 2025 with a BSc (Hons) Computer Science, currently pursuing opportunities to apply my problem-solving, analytical, and organisational skills in software development and database design. I have hands-on experience in software development, full-stack web applications, and database management from coursework and projects. I enjoy collaborating with teams, learning new technologies, and delivering scalable, high-quality solutions using tools like React, Flask, Node.js, and Docker.
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Purposed developing an innovative e-barter system to enable autonomous trading to make it more efficient item trading.
The goal was to design and implement the e-barter system, utilizing multiagent systems to interact with users and Advanced AI to evaluate the value of traded items and create a consistent platform.The project was divided into three main components; Multiagent system interface which is developed using python with development library CrewAI that formulate an hierarchical MAS with one master and clients and The reasoning and comparisons to evaluate the value of different items up for trade using knowledge base with semantic network and interface API using fastAPI in python to feed and interact with the system and user.
The solution was successfully developed and deployed, allowing users to efficiently evaluate and trade items using AI-driven reasoning, and increase the usage of used items by almost 34%.
Source: [Trade Hive](https://www.twine.net/signin
Description
Trade Hive is a barter system that is developed with Bee-Hive methodology using Multiagent system, in which each agent communicate with each other and work together (like bees )and have one central agent (Queen) that maintains everything.
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Developed using React V18 Framework and hosted with Node.js Server, it provides a dynamic client side web app with javascript.
The app displays all the project linked to the user on the homepage, and allows clickable card objects to navigate and open each one on different page using dynamic routing using Routes, Route and Links.
To go to a specific porject click on the title and it opens a new page with full details of that project along with the bugs in that project.
It also provides you the opputunity to add new bugs/projects and delete those as neccessary, which is handled using React hooks: useeffect and usestate and seeding with Flask API (backend)
Developed using python Flask library which allows to create API endpoints which the react frontend is hooked to, and allows Cross-Origin Resource Sharing with ‘CORS’.
The python backend app is running on flask server, it connects to SQL server to store data secured, and performs the necessary connection to load/modify data when required by React app.
Source: [FixFlow](https://www.twine.net/signin
Description
FixFlow is a bug tracking fullstack web appplication which uses react framework to implement user side interface with Node.js server and utilises Python Flask library to develop API which provides endpoints for backend which is connected to a SQL server to seed data.
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