Designed and structured the project architecture, ensuring a unified codebase that is scalable, maintainable, and adaptable to future needs.

Led the development of scalable and responsive web applications using React, MUI, Redux, and TypeScript, building a global marketplace to seamlessly connect buyers and suppliers.

Collaborated effectively with UX/UI designers and backend teams to deliver intuitive, user-friendly, and efficient web solutions.

Spearheaded performance optimization and SEO enhancements, leveraging techniques like lazy loading, CDN integration, code compression, and semantic headings, resulting in faster load times, better search engine indexing, and increased organic traffic.

Conducted code reviews to uphold best practices, ensuring clean, maintainable, and high-quality code.

Worked closely with backend teams to design and integrate robust APIs, enabling seamless data flow and enhancing the user experience.

Utilized modern technologies such as ReactJS, Ant Design, Tailwind CSS, Redux, and Next.js to develop international projects for partners in Australia and Brazil, ensuring quality and meeting unique customer requirements.

Collaborated closely with backend developers and UI/UX designers, implementing features based on pre-defined workflows, ensuring seamless integration and adherence to requirements. Followed the standard Agile process with activities like sprints, retrospectives, and daily stand-ups.

Optimized code performance by leveraging techniques such as code splitting, lazy loading, and SSR, reducing page load times, improving user experience, and optimizing resource usage.

Ensured code quality through a rigorous code review process, focusing on maintainability, scalability, and compliance with best coding practices.

Resolved performance bottlenecks, improving application load speed by up to 30% by optimizing critical components and redesigning complex workflows between frontend and backend.

Instructor for both basic and advanced web programming courses, covering topics such as HTML5, CSS3, JavaScript, and ReactJS.

Provided mentorship to students, giving detailed feedback on coding assignments and guiding them through debugging and problem-solving techniques.

Developed a Node.js server using ExpressJS to provide real-time API services and backend support for students' frontend projects, including features like CRUD for products, category management, and authentication with JWT.

Taught frontend development, covering basic HTML, CSS, JavaScript, as well as TypeScript, ReactJS (basic and advanced), Git, and guided students in completing real-world projects to reinforce their skills.

Built a bot to crawl data, gathering and preprocessing images from various sources to create training data for the machine learning model.

Researched and developed a machine learning model using Pytorch and CNN for detecting banned images, ensuring efficient and accurate training of the model.

Developed and deployed a web application using Flask to deploy the machine learning model, allowing end-users to upload and check images for violations.

Created a user interface with Bootstrap and JQuery to display image detection results, providing an intuitive experience for users.