About myself and my skills

From an early age, I have been passionate about programming, which has allowed me to build a solid foundation in this field. Starting with learning Pascal in school and university, I actively participated in informatics olympiads, which helped me develop analytical thinking and problem-solving skills.

Since 2021, I have been studying Python and web development in depth. Since 2022, I have focused on working with Vue 3, which has allowed me to enhance my frontend development skills.

I specialize in building complex Vue 3 + TypeScript applications with a strong focus on architecture and user experience.

One of the most challenging projects was developing a custom Gantt chart from scratch using Canvas and Konva.js, tailored to specific data structures and an existing design system. I also built real-time collaborative components using WebSockets and implemented advanced form validation with conditional logic and array field validation.

At a government analytics center, I led projects from zero to production — setting up CI/CD, configuring build tools, and establishing modular architecture. I optimized heavy data tables with lazy loading, tree structures, and persistent state management (filters, sorting, column settings across sessions and URL sharing). Beyond frontend, I worked on data science tasks: vectorizing data with embeddings and building K-means clustering visualizations using Python, LMStudio, and Milvus.

In the insurance sector, I developed a full meeting room booking system with calendar integration (iCalendar recurrence), Google Meet auto-generation, and real-time tablet UI for conference rooms — all synchronized via WebSocket across every CRUD operation. I also implemented role-based access control with Keycloak and route guards.

As a fullstack developer at a venture fund project, I built an AI-powered startup search pipeline: parsing documents (PDFs, scans, presentations), generating prompts, and processing responses through Gemini/OpenAI APIs with Zod-validated JSON schemas stored in MongoDB.

I enjoy mentoring developers, conducting code reviews, and writing documentation that serves both humans and LLMs.