Mustafa – React, Typescript, JavaScript

Predictoor AI is a comprehensive project that receives predictions for the next 5-minute candle from different predictors. All parts of this project is open-source.

• Addressed performance issues by reducing GraphQL request counts.
• Resolved Web3 usage problems, ensuring everything worked properly and eliminating security vulnerabilities, including the fact that the main private key for the BTC feed was exposed on the front end;
• Initiated a side project called "Predictoor Websocket," where developed a Node.js application that continuously subscribes to and feeds data to the front end;
• Used Python to calculate accuracy rates with GraphQL and feed that data to the front end.

There are two distinct projects:

1. The first project is an energy simulation application designed for a production environment. It simulates the energy consumption and production of energy communities based on real-world data.
2. The second project is an energy market application. While we have completed a significant portion of this project, there are still some issues related to the business aspects.

On the first project:

• Contributed to UI interactions;
• Developed modules from scratch by using GraphQL and Saga;
• Worked on tasks which are assigned to me;
• Developed reusable application components.

On the second project:

• Contributed from the first steps to finish;
• Implemented UI designs from Figma;
• Developed user interactions;
• Integrated data by using GraphQL;
• Developed reusable application components.

It is a back-office application for water vendors within the international grocery app, Getir. Water vendors can add their products based on their brands, track commissions and orders, and inform their customers.

• Designed user interfaces based on the product plan;
• Utilized Ant Design for consistent design elements;
• Implemented form validations, REST requests, and data management on the front-end;
• Developed socket functionality tailored to the project's requirements.

The most popular newspaper in Turkey, having become the leading news application in the country with over one million active users.

• Designed user interfaces in accordance with the product specifications.
• Collaborated with the technical leader to establish the project structure.
• Developed 95% of the code for the application alongside my junior developer.
• Influenced the technical leader's decisions, such as opting for RNN instead of React-Navigation.
• Earned a promotion to Lead position following the successful launch of the application.

An alternative image editor for WordPress. News editors can manipulate images using this tool, allowing them to cut and edit as they wish while creating new posts in the WordPress dashboard.

Mustafa started the project from scratch as a solo developer. He added a button on the WordPress post editor screen labeled "Image Editor." When users click this button, a modal opens, created with jQuery. In this modal, users can select the image and choose specific areas to display for different aspect ratios. The editor is built using React. The application sends the image URL and coordinates to the backend, where the PHP API accurately crops the images and saves them as attachments in the WordPress image library.

It is a CRM application for a cargo company that works between Turkey and Iraq. It has been built completely with BackBoneJS and REST API.

• Contributed REST APIs by using Slim PHP;
• built FE application by using Backbone.js with a team member;
• implemented completely customer, cargo, cargo route, authentication, and authorization.