Mikhail Pospelov

Salony.com website and apps give salon professionals everything they need to schedule appointments and showcase their work. This platform gives clients a place to search, discover, and book appointments.

This was a huge project that contained many moving parts.

I managed the project and served as a team lead. I worked on the back-end API (Ruby on Rails), admin interface (AngularJS), web interface for a salon owner (AngularJS and later rewritten to React), and WebSocket microservice (Elixir/Phoenix).

As a result, the client received a working project in less than two months and started receiving initial customer feedback.

After receiving the feedback, we continued upgrading this project, which still requires a great deal more work.

The most interesting task was to build timetables for selected services so that the customers could see available times in real time. There were too many instances to take into account when building this timetable. The client could not factor in all the requirements, so he delegated this task to me. As a result, we got a great algorithm that solved this problem quickly and accurately and remained scalable.

The client was very happy with our work.

Gobgob.com is a chalet and beach house rental service in Kuwait.

When I came to the project, I worked with a 3D team that had already started building the service from scratch. I joined the team mid-project, so I had to deliver quickly and with good quality, as I had strict deadlines.

I was tasked with developing the application's business logic and managing a team of two front-end developers and two back-end developers.

As a result of our work, the client received a working project that generated revenue.

The most exciting task was solving the problem of customers who rented the property briefly, especially during holidays. We decided to slice a timetable into indivisible pieces (weekend, midweek, full-week, or any dynamic holiday). It was easy to slice, but calculating the price depending on a selected date range was difficult to manage. In the end, we suggested that they use Elasticsearch to handle the dynamic calculations, and we solved the issue in a reasonable time.

After implementing the solution, the client continued working on it by adding a special offers mechanism, and thanks to TDD, we could apply it very fast without any pitfalls.

It's a browser extension that converts any webpage into a printable version. I designed and implemented an elimination algorithm that removes sections like "share with social network", "related articles", "webpage header", "webpage footer", etc. I also transferred browser extensions from V2 to the V3 manifest and fixed many security vulnerabilities while doing it.