
Danilo Stankovic
Senior Full-Stack Developer | React & Node.js
Salary / Daily rate
Belgrade, Serbia
Freelance, open to permanent contract
Skills
Languages
About me
Intro
Full-stack developer with 8+ years building scalable systems and leading engineering teams. Delivered 60% performance improvements through React/Next.js optimizations and AWS serverless architectures. Expert in Python, Node.js, and modern frontend frameworks with proven results in reducing costs and boosting user adoption by 32%.
Work experience
Full Stack Engineer
NHS
Nov 2020 - May 2025
4 years 7 months
Silverstone, Towcester NN12, UK
• Functioned as a Senior JavaScript/TypeScript Developer and Scrum Master for a team of 10 engineers, optimizing development cycles and project delivery. • Architected scalable full-stack systems using React.js and Next.js for SSR (Server-Side Rendering) and SSG (Static Site Generation), reducing page load times by 60% and improving Google Core Web Vitals and SEO performance. • Engineered reusable React components with drag-and-drop functionality, leveraging hooks to minimize re-rendering and improve performance by 40%. • Spearheaded the migration of legacy monolithic Node.js APIs into modular microservices with Nest.js, increasing system scalability and reducing deployment complexity. • Designed GraphQL APIs integrated with Apollo Client, implementing caching strategies that accelerated API response speeds by 30ms per query. • Built and deployed serverless backend systems using AWS Lambda, API Gateway, S3, and DynamoDB, ensuring system reliability with an SLA compliance of 99.9% uptime and data pipelines capable of processing 50K+ records per second. • Collaborated with design and UX teams via Figma and Storybook to deliver pixel-perfect, mobile-responsive UIs using React.js and TailwindCSS. • Automated CI/CD pipelines with GitHub Actions and Jenkins, streamlining feature testing, deployment, and delivery timelines. • Introduced and mentored the team on testing best practices with Jest, Enzyme, and React Testing Library, resulting in a 92%+ unit test coverage on priority components. Key Achievements: • Led the launch of a client analytics dashboard, driving a 32% increase in user adoption within the first quarter. • Minimized AWS infrastructure costs by 15% through cloud cost optimization strategies and restructuring data pipelines.
Senior Full Stack Developer
Geek-Solutions
Apr 2016 - Oct 2020
4 years 7 months
Belarus · Remote
• Revamped client-facing Angular-based dashboards, integrating RxJS for scalable state management and custom UI components, improving performance and user engagement. • Managed the migration from AngularJS to React.js using a strangler pattern approach, cutting technical debt by 45% while ensuring seamless transitions. • Introduced a micro-frontend architecture leveraging Webpack Federation, enabling independent module scaling for multiple teams and enhancing deployment efficiency. • Built multi-step workflow forms in React.js using Formik and Yup, streamlining user onboarding for 100K+ enterprise clients. • Designed scalable APIs in Node.js (Express) and transitioned RESTful services to Apollo GraphQL, minimizing database query latency by 25ms per request in production. • Containerized workloads with Docker and deployed them via Azure Kubernetes Service (AKS), ensuring resilience and scalability across global user bases. • Automated regression testing with Cypress and Playwright, accelerating test cycles by 50% across multi-national e-commerce platforms. Key Achievements: • Re-engineered user funnels through iterative A/B testing, yielding an 18% increase in conversion rates. • Developed an SSO module with OAuth2.0, boosting security and reducing login time by 40%.
Python Developer
notime (Schweiz) AG
Jun 2014 - Mar 2016
1 year 10 months
Switzerland · Remote
• Managed cloud infrastructure on AWS and Azure, ensuring 99.9% availability with resource monitoring and backups. • Designed predictive ML models with Sklearn and Pandas, cutting operational costs by 15%. • Developed customer segmentation tools using clustering algorithms, driving 25% revenue growth. • Automated ETL workflows with Python scripts, reducing data handling time from 8 hours to 30 minutes. • Processed large datasets using Apache Spark, accelerating insights by 50%. • Improved object detection model performance by 20% through dataset labeling and rehandling. Key Achievements: • Migrated monolithic Django systems to microservices with FastAPI, improving deployment speed by 60% and fault isolation. • Designed serverless AI workflows with AWS Lambda, cutting operational costs by 20% and boosting scalability. • Built fraud detection frameworks using Flask and PyTorch, reducing transaction risks by 50%.
Education
National University of Singapore
Bachelor's degree
2010 - 2014
4 years 1 month