Managed the recruitment, onboarding, and oversight of a team of three full-stack developers. Created a task management board inspired by Kanbanize, with architecture, MERN stack, Next.js, and documentation.

Developed a versatile and customizable solution that would enable our clients to manage their tasks and projects more effectively, using PostgreSQL, GraphQL, Prisma, D3.js, Fabric, and Charts.js.

Collaborated closely with the development team to devise and implement the software architecture for the application, through Next.js, NestJS, TypeScript, MUI, Tailwind, front-end architecture, Agile, and Jira.

Collaborated with the design team to continually update wireframes and prototypes based on feedback from both management and potential clients, using Figma, Pixel Perfect, and responsive layout).

Worked with our DevOps team to utilize AWS products necessary for hosting the Node.js application and designing and executing the CI/CD pipelines.

Integrated graph charts, such as Gantt and burndown charts and scatter plots, to aid in the estimation of task, sprint, and team progress, using vis.js, Fabric, and Charts.js. This allowed users to make informed data-driven decisions and plans.

Used Vue.js, Nuxt, Angular, and TypeScript on the front end in a few other projects.

Created data visualizations using SVG charts with pure HTML SVG, HTML Canvas, React, MUI, Typescript, and D3.js.

Integrated data visualization charts into the company's existing React apps.

Converted wireframes into fully responsive React pages.

Acted as a team leader, delegating, overseeing, reviewing, and prioritizing tasks. The tech stack included React, Redux, Next.js, Strapi, Tailwind CSS, and Front-end architecture.

Collaborated with engineering, product, and UX teams to implement front-end solutions.

Created, developed, and oversaw automated tests for user interface elements.

Identified the UI platform's quality, usability, performance, security, and testability requirements.

Implemented integrations with external REST APIs from companies such as Katapult, Zapier, Affirm, AT&T, Tracfone, and Stripe.

Wrote and maintained documentation for program development, logic, coding, testing, and bug fixing. Supervised junior developers.

Built a Shopify-powered shop for the company and has demonstrated proficiency in Shopify development and integration with Shopify Payment Apps API and Storefront API.

Created middle-tier projects for data visualizations and front end utilizing Flare SaaS for continuous decisions and complex event streaming.

Led a team in implementing full-stack projects to monitor the big data of telecommunications companies using the MERN stack.

Mastered real-time data analytics, data visualization, socket handling, front end, big data management, graph management and monitoring, threat and alert detection, high-volume real-time data handling, and Power BI.

Created a Power BI plugin library that used real-time data from WebSockets derived from big data from everyday telecommunications usage. Used React virtual DOM and other React optimization capabilities to overcome resource limits for Power BI plugins.

Designed and implemented complex data visualizations from the ground up using MEAN stack, SVG, and HTML5 Canvas.

Translated designs and wireframes into a high-quality responsive Angular app.

Mastered the creation of advanced data visualizations using web socket communication in real-time threat detection and other data-driven decision applications.

Developed an enterprise dentist management system (EDMS). EDMS is an enterprise dentist app that covers management to doctors, patients, nurses, lab workers, labs, radiology, billing, insurance, and a few other dentist things.

Designed and implemented a robust and fault-tolerant architecture from front end (Angular) to the back end (Node.js), including the integration of a database (MySQL and PostgreSQL).

Additionally, I reverse-engineered and modernized outdated components to create new, reusable ones.

Designed and developed a system for booking vacation time, allowing employers to give employees flexible vacation options.

Developed an administrative application with HR functions, task distribution, vacation management, and attendance tracking for a Saudi government agency.

Acted as the team lead and played a key role in sprint planning, backlog grooming, and daily standup meetings. Used the MEAN stack to implement the company's projects.

Created an MVP for a cutting-edge medical education software that provides immersive patient case simulations, using Node.js, Next.js, React, TypeScript, and AWS.

Worked on an app that enables medical students and professionals to see virtual patients, analyze medical history, do interviews, order tests, make diagnoses, and prescribe medications. It then evaluates their performance using OpenAI GPT3 API.

Designed and developed a solid software architecture from end-to-end, including the database, back end, front end, and deployment.

Picked the best tech stack to provide optimal performance, scalability, and user experience.

Delivered the MVP within an impressively short timeframe while maintaining exceptional communication with the client throughout the project lifecycle.

Ensured that the final product met and even exceeded expectations, resulting in a highly satisfied client.

Contributed to the upgrading and maintenance of an enterprise application aimed at promoting air monitoring instruments, as a member of the development team.

Absorbed the project's technical stack and code structure quickly, through communication with my team members and the project manager. This allowed me to proactively fix bugs and other technical issues from my first day.

Performed troubleshooting on the CI/CD pipeline and successfully resolved several build config issues. My efforts assisted the pipeline in operating efficiently and reliably, allowing the team to deliver code changes more quickly and confidently.

Worked on a medical education platform that used artificial intelligence to evaluate medical students' answers and then delivered related quizzes. The artificial intelligence bot imitated patients, analyzed medical student talks, and assigned grades.

Used React and its ecosystem to build quiz wizards, chatbots, and student evaluation tools.

Collaborated closely with the design team and transformed their wireframes into fully responsive React pages.

Developed a data visualization and social media monitoring tool to assist journalists in staying informed about public trends and industry news.

Utilized APIs from major social media platforms, including Twitter, Facebook, Instagram, and Pinterest, to track relevant hashtags, mentions, and keywords.

Implemented data visualization techniques, such as creating charts and graphs, to effectively display the social monitoring data within an Angular web application.