Denis Korolev is a self-employed developer with experience in creating scalable systems using Python and React. He works as a full-stack developer while also engaging in testing, implementing targeted, unit, and end-to-end tests using Playwright. In his current project, he is involved in developing a CRM system based on Django with a frontend built on React and Redux. He utilizes Docker for service orchestration and Celery for background tasks.

Denis has experience with FastAPI, WebSocket, SSE, and the implementation of long-polling systems. He developed an adapter to unify the work with SQLite and PostgreSQL and has implemented Alembic migrations without interrupting database operations. Among his achievements is the creation of a custom Koa server to optimize frontend development and the rewriting of a monolith into a microservices architecture.

He is also working on a personal project to create an online store, which is available in repositories, and plans to implement a system for logistics companies that includes route tracking and real-time file sharing.

Reviews

Denis Korolev is a qualified and responsible performer who completes work on time, often ahead of schedule. Feedback highlights his professionalism, clarity, promptness, and ability to provide detailed explanations. He works efficiently, taking into account the strategic aspects of tasks and helping to identify weaknesses in projects. All reviews are positive, with no mentions of shortcomings. There have been no negative remarks.

Portfolio projects

Skills and Technologies: Django, React, Redis, Celery, PostgreSQL, Python, web development, web scraping, Google Ads analytics, GTM, GA4, SEO audit, contextual advertising, HTML/CSS, Bitrix.

Projects and Achievements: The candidate developed and implemented a module for cinemas using Django, as well as a user login/logout system utilizing Django, Redis, Celery, and React. He also participated in the creation and optimization of online stores, including photo processing and technical retouching. In the realm of SEO and contextual advertising, the candidate conducted audits of websites and advertising campaigns, which contributed to improving their effectiveness. In a web scraping project involving 2Gis, he demonstrated skills in data extraction and processing.

Achievements and Recognition: The candidate successfully set up analytics using GTM and GA4, which enhanced conversion tracking. In contextual advertising projects, he performed ROI analysis and budget forecasting, leading to increased profitability of advertising campaigns.

* 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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