Mihail Ankudinov resume

Mikhail Ankudinov has been involved in design since 2018, creating logos, banners, and headers. In 2024, he transitioned to backend development, specializing in Laravel, PostgreSQL, and DevOps. He has experience working on his own website, bozheslav.ru, as well as with the OnFlaude CMS and Python parsers integrated with artificial intelligence. He is proficient in Laravel 12 with Filament CMS, layout design based on templates, VPS configuration, email layout, and deploying projects on Linux servers. Mikhail approaches his work systematically, documenting the process in writing and adhering to deadlines.

Reviews

Mikhail Ankudinov is a professional performer who systematically delivers high-quality work: on time, taking into account all client requests, often ahead of schedule, and incorporating creative solutions. Reviews highlight his responsibility, efficiency, initiative, ability to understand client needs even with vague specifications, and constant availability. There are no negative reviews.

Portfolio projects

Skills and Technologies: web development, PHP, Laravel, Filament, PostgreSQL, Python, AI, Telegram API, Docker, Nginx, CI/CD.

Projects and Achievements: The candidate has developed several projects, including OnFlaude CMS — an open-source CMS built on Laravel 12, offering a secure and fast alternative to WordPress with extensibility through plugins and themes. The project features a visual editor, a user management system, and a media library. Additionally, a flexible portfolio system was created, supporting three types of projects, with automatic unpacking of ZIP archives. Internal site analytics, without the use of third-party services, allows for tracking visitor traffic and geographical distribution. The candidate also developed a data parsing system with AI analysis and a Telegram interface that operates 24/7, and configured VPS security to protect the Laravel project.

Achievements and Recognition: The candidate has achieved significant results, such as improving site performance with a PageSpeed score of 94/100, integrating automated processes using n8n, and creating a system that adapts to user preferences through human feedback. The implementation of Fail2Ban and other security measures has ensured protection against attacks and scanning.

* 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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