✨ Full Stack Developer 📚 Tech Stack: React, NodeJs, MongoDB, Svelte, TS, Redux-Toolkit, Recharts 📋 Responsibilities & Achievements: - Took over tech leadership responsibilities in mid-2024 for our 3-person dev team while continuing active development - Engineered complete Stripe payment solution with detailed API documentation. Reduced transaction errors by 34% and increased payment success rate to 87%, directly impacting revenue - Rebuilt core backend services using class-based architecture, improving average response times from 600ms → 300ms. Introduced reusable modules that cut new feature development time by 30% - Implemented Feature-Sliced Design (FSD) architecture that reduced cross-feature bugs by 25% and accelerated new developer onboarding by 46% - Integrated a document-trained chatbot using NLP to handle basic customer queries. This automated ~40% of routine support requests while maintaining 89% satisfaction rate

✨ React/React Native Developer 📚 Stack: React, React Native, TS, Redux, REST 📋 Responsibility: - Engineered a corporate web/mobile app using React and React Native with shared npm packages that reduced code duplication by 40% while accelerating feature development - Implemented developer performance dashboards tracking PR quality - Designed automated GitHub Actions workflows with parallelized testing that reduced pipeline execution time by 30% - Configured custom Webpack bundling with code splitting that decreased initial bundle size by 35% and improved lazy-loading performance across the application

✨ React Developer (Online-Shop) 📚 Stack: React. TS. MST. React-Query, Material UI 📋 Responsibility: - Redesigned the registration and authorization flow with proper form validation and error handling. This reduced failed login attempts by ~37% and improved successful account creation rate to 92% - Developed smart caching mechanism for product tables that reduced API calls by ~45%. This significantly improved page load times for frequently accessed data - Built interactive tables with dynamic filtering, sorting, and multi-level relationships between different data types. The solution handled 10,000+ records with smooth performance - Created personalized dashboards showing sales trends and inventory statistics. Merchants reported ~30% better decision-making using these insights

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