Uros Gligorijevic

Designed and deployed cloud-native application architectures using AWS, Docker, Kubernetes, and Nginx, improving service availability and reducing deployment-related issues by 35%. Architected high-availability back-end systems using PostgreSQL, Redis, queues, caching, and horizontal scaling to support millions of monthly API requests with reliable performance. Containerized frontend and backend services with Docker, standardizing local/staging/production environments and reducing environment-related deployment issues by 50%. Built background processing infrastructure with Redis, Celery, and Kafka to move long-running AI/data processing workloads outside the request cycle, reducing API latency by 40%. Built and integrated LLM-powered applications using OpenAI, Anthropic Claude, and Google Gemini APIs for chat, content generation, recommendations, summarization, and structured data workflows; also integrated LLMs with Stripe, CRM systems, databases, webhooks, and third-party APIs to ena

Used AI coding tools (Claude Code, Cursor, GitHub Copilot, ChatGPT) to accelerate code generation, debugging, refactoring, test creation, documentation, and investigation of production issues while manually reviewing generated code before release. Built AI-powered automation workflows using n8n, Make.com, and Zapier, connecting APIs, CRMs, webhooks, databases, and internal applications to reduce repetitive manual work. Used Azure DevOps for Git-based source control, CI/CD pipelines, release management, work item tracking, and deployments across development and production environments. Implemented automated test suites for Next.js and .NET applications, achieving 90%+ test coverage and reducing regressions during releases. Improved frontend performance by 30% by reducing unnecessary React re-renders, optimizing assets, implementing SSR, lazy loading, and caching. Developed secure, scalable RESTful APIs and integrated third-party services, authentication systems, webhooks, and external d

Built and maintained web back-end features using PHP and Laravel; converted UI/UX mockups into React screens and components with Bootstrap and CSS. Worked with React and Node.js to implement frontend and backend features and handle data. Switched backend from MySQL to MongoDB to improve scalability and performance as user data and transactions grew. Built React and Java/MongoDB components to track employees’ work time, vacation, and sick days. Developed and maintained web-based business applications using React, Node.js, PHP, and Laravel, creating reusable frontend components and backend modules for internal enterprise tools. Worked with cloud-hosted databases and services to improve scalability and reliability; reduced frontend loading time by 30% through avoiding unnecessary renders, optimizing assets, and using SSR/caching. Implemented a search engine using Java, a Node.js REST API for data access, and a React web frontend for managing and searching results with fast configurable