Peter Shpis is the head of the MakeDifference team, which specializes in the development of web services, mobile applications, Telegram bots, and turnkey digital products. Over the past three years, they have successfully completed more than 30 projects in various fields, including FinTech, eCommerce, education, AI, and cryptocurrency. The team collaborates with businesses from the initial idea to the launch, creating complex systems with user accounts, integrations, and high load capabilities. They utilize technologies such as React, Next.js, Node.js, NestJS, Strapi, React Native, and Figma, along with integrations with APIs, CRMs, payment systems, and AI solutions, including ChatGPT and OpenAI. Their work is conducted under a transparent scheme with daily reports, stage control, and quality assurance.
The MakeDifference team demonstrates a high level of professionalism, organization, and transparency in their work. Client reviews highlight consistent communication, adherence to deadlines, quality task execution, and a willingness to suggest improvements. No negative feedback has been reported; all evaluations are positive, emphasizing their systematic approach, attention to detail, and focus on results.
Skills and Technologies: web development, UX/UI design, Strapi, PostgreSQL, AI integration, SEO optimization, Telegram bots, business process automation.
Projects and Achievements: The candidate has developed several web platforms, including a project and task management system, a platform for hiring cleaning staff, and a marketplace for construction materials. As a result of their work on these projects, significant improvements in efficiency were achieved: task completion time was reduced by 40-50%, and the number of successful tenders increased threefold. Additionally, an educational platform for learning Chinese was created, which successfully attracted clients and generated stable income.
Achievements and Recognition: The candidate's projects received positive feedback, with ROI metrics exceeding 400%. User engagement levels on the platforms reached 80%, and the conversion rate to paid users was 22%. The candidate demonstrated the ability to quickly adapt and implement innovative solutions, significantly improving clients' business processes.
* It is created by a neural network based on a portfolio, information provided by the user about himself and reviews from other users.