This platform is a que management application for US companies for controlling customers' flow, managing the waiting time and enhancing customers' experience.

The developed system provided rentals in the USA to have a successful pet policy for their properties. The system included a full lifecycle of landlord and tenant documentation for policies regarding pets.

The project aimed to develop a solution for the companies who are searching for new employees, specialists looking forward to new job opportunities and referrers. The UI part was created with react, using modern technologies and approaches, including code splitting and lazy loading. The styles were created using material ui.

The goal of the project was to create a website builder for card dealers in the USA. The target audience was dealerships looking for a tool which will help them to have a fast, nice-looking website which can be built and customized with several clicks. The project consists of four main parts: dealer admin, dealer website, ui components and backend. The service allows users to select one of the pre-built templates, add the dealership data, customize template, add inventory and build a next. js based website which is very performant and feature rich. For search we have used algolia, for server state management we have used react query. I have designed the architecture of the application and have chosen the tech stack.

The project aimed to develop a solution for people searching or offering courses. The UI part was created with Next.js using modern approaches and technologies, including Type Script. The styles were created using LESS and Ant design. We had also had an admin dashboard created with react. The back-end was built on Node.js and Google cloud functions. For search we were using Elastic Search.