Hi there 👋 I'm Juliusz Kowalewski, currently working as Full-Stack Developer at Fototransfer.
Experienced Full-Stack Developer with several years of experience in designing and implementing web solutions. My career is characterized by a continuous drive for growth and adaptation to new technologies, enabling me to create innovative and efficient solutions. Passion for learning, flexibility in approaching technologies, and the ability to constantly improve my skills allow me to adapt to the ever-evolving IT industry.
- Languages: JavaScript, TypeScript
- Frameworks & Libraries: React, Next.js (App Router, Server Actions), Node.js, Express.js, Nest.js. Adonis.js, Storybook, Hono, Redux, Redux Toolkit, React Query, SWR, Prisma, TypeORM, Knex.js, Zod
- UI Libraries: Chakra UI, MUI, Radix UI, React Aria, Headless UI
- Databases: SQL Server, MySQL, PostgreSQL
- Testing tools Jest, Vitest, Playwright, MSW.js
- Tools & Platforms: GitHub, Docker, AWS EC2, Github Action, gRPC, Apache Kafka (Pub/Sub), AWS SQS, RabbitMQ, Nginx, Linux, Postman, Swagger (Open API), Cloudflare.
- OpenCommerce: A microservice-based eCommerce platform built with NestJS and gRPC for backend communication, and Remix for the frontend. The UI components are developed with react-aria for accessibility, while Storybook and Playwright are used for testing. The project aims for 80% test coverage, ensuring robustness and maintainability. The platform is still under development, with more features and details to be finalized.
- Antigro SDK: Antigro SDK for Node.js simplifies integration with the Antigro Designer API, enabling developers to quickly and efficiently implement key functionalities in their applications. With built-in support for authentication via JWT and streamlined HTTP client services.
- react-dpd-pickup-map: is a lightweight React component designed to seamlessly integrate the DPD Pickup Map into any React project. This component allows developers to quickly embed the DPD Pickup service, enabling users to select a DPD Pickup point directly within the application.
- Microservice pattern
- Design patterns
- Elastic Stack (ELK) Elasticsearch, Kibana & Logstash
- Prometheus/Grafana
- System architecture patterns
- C programing language