Sergey Maibrodskiy is the head of a studio who has progressed from developer to technical leader, with experience working with major clients such as Yandex, Skolkovo, and Russian Railways. He specializes in the full software development lifecycle, from task analysis to project launch and support, often serving as a CTO or partner for entrepreneurs, startups, and IT departments. Sergey works with modern technologies, including Node.js, React, Flutter, and cloud platforms, emphasizing transparency, code quality, and adherence to deadlines. His approach is grounded in business-oriented thinking: he creates solutions that deliver real value rather than simply completing tasks.

Reviews

Sergey Maibrodskiy is generally highly regarded by clients for his responsiveness, professionalism, quality of work, and good communication. Most reviews highlight his quick task completion, exceeding expectations, willingness to make revisions, and ability to explain nuances. However, there are a few negative reviews: one client points to unmet assignments, refusal to issue refunds, and aggressive behavior following a conflict; another mentions poor quality of a script that stops functioning over time, as well as refusal to make revisions and return part of the payment. There have also been instances of misunderstandings regarding technical details and accusations of unprofessionalism when dealing with system limitations. Despite the positive feedback, there are risks associated with the quality of long-term work and interactions in the event of disputes.

Portfolio projects

Skills and Technologies: automation, mobile application development, software localization.

Projects and Achievements: The candidate developed scripts for software automation, which contributed to process optimization. A keyboard for the Abkhaz language was created and made available on Google Play, expanding user capabilities in the region. He participated in the project to create a Children's Encyclopedia aimed at educational purposes.

Achievements and Recognition: The publication of the application on Google Play serves as a testament to its quality and demand.

* It is created by a neural network based on a portfolio, information provided by the user about himself and reviews from other users.

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