07/30/2025 updated
100 % available
ReactJS & Typescript fullstack developer
Braunschweig, Germany
Java (Programming Language)JavaScript (Programming Language)PHP (Programming Language)User Experience (UX)Application Programming Interfaces (APIs)Artificial IntelligenceAmazon Web ServicesAmazon CloudfrontAmazon S3Applications ArchitectureArchitectureMicrosoft AzureBig DataSoftware as a ServiceCloud ComputingCloud EngineeringCloud FoundryDatabasesContinuous IntegrationDevOpsWeb DevelopmentAmazon DynamoDBElasticsearchMiddlewareJava Platform Enterprise Edition (J2EE)Property ManagementGithubGoogle AnalyticsSearch Engine OptimizationJunitPython (Programming Language)PostgreSQLMapR (Big Data)MariaDBProject ManagementMongoDBMySQLNode.JsOpen Source TechnologyPrototypingRapid PrototypingRedisPower BIDigitaloceanNext.jsData StreamingTypeScriptSpeech RecognitionWeb PlatformsWordPressRust (Programming Language)TestingReactJSSpring-bootJupyterBackendFastapiVue.jsAmazon Relational Database ServicePytestAngularJSGitlab-ciMaterial UIKubernetesRancherFull Stack DevelopmentLow-codeFigmaGraphqlReact NativeFront End Software DevelopmentReact ReduxNestJSRestful ApiTerraformMochaDocker
Senior Fullstack Developer with 20+ years of experience in web application development and cloud-based platforms. Strong focus on React, Next.js, TypeScript, Node.js, and modern SaaS architectures.
Technical expertise covers:
Technical expertise covers:
- Frontend: React, Next.js, Redux, TailwindCSS, Webcomponents, Angular, Vue, Material UI, Radix UI, Jotai, React Native, shadcn/ui
- Backend: Node.js, Express, REST, GraphQL, NestJS, Java (Spring Boot), Python (FastAPI), PHP, Bun.sh, MeteorJS, Streaming APIs, Middleware architectures
- Databases: MongoDB, PostgreSQL, MySQL, MariaDB, Redis, DynamoDB
- Cloud & DevOps: AWS (Cognito, SES, Amplify, S3, Cloudfront), Terraform, Docker, CI/CD with GitHub Actions and GitLab-CI, Kubernetes, DigitalOcean, Azure, CloudFoundry, Rancher, Elastic Stack
- Data & Tools: Open Data APIs, Map-based tooling, MapTiler, OpenStreetMap tools, deck.gl, Big Data pipelines with Rust and Node.js, PowerBI, Jupyter Notebooks, WordPress, Low-Code platforms
- AI & Conversational: Google Dialogflow, Google Home Actions, Speech-to-Text integrations
- Testing: Jest, vitest, Mocha, php-unit, junit, bun-test, pytest
- UX & Prototyping: Figma, Storybook, design sprints, rapid prototyping
- SaaS platform for real estate management (Next.js 15, AWS Cognito, PowerBI embedding, Terraform)
- Migration of a high-traffic website to Next.js (SEO, performance, tracking, consent management)
- Open Source travel data platform connecting multiple Open Data providers
- Numerous frontend and backend projects for clients such as RTL, Lufthansa, Volkswagen, Zalando, and OTTO.
Languages
DeutschNative speakerEnglischGood
Project history
RTL-News: Performance Optimization & Web Development
RTL News is one of the leading news and entertainment portals in Germany, attracting millions of visitors daily. It offers a variety of content, including current news, entertainment posts, sports coverage, and lifestyle articles.
As a web developer, I have worked since 2019 as part of a team of frontend and backend developers. I was responsible for optimizing web performance, ensuring data protection compliance, and overseeing tracking and marketing. In doing so, I worked with various technologies such as TypeScript, Webpack, React, NextJS, NodeJS, PHP, and various databases.
In 2021, a major milestone was the relaunch of the RTL brand as part of the "#united" campaign. I supported various stakeholders and teams from different trades in successfully implementing the relaunch and creating a modern and user-friendly online presence for RTL News.
Project
RTL News is one of the leading news and entertainment portals in Germany, attracting millions of visitors daily. It offers a variety of content, including current news, entertainment posts, sports coverage, and lifestyle articles.
As a web developer, I have worked since 2019 as part of a team of frontend and backend developers. I was responsible for optimizing web performance, ensuring data protection compliance, and overseeing tracking and marketing. In doing so, I worked with various technologies such as TypeScript, Webpack, React, NextJS, NodeJS, PHP, and various databases.
In 2021, a major milestone was the relaunch of the RTL brand as part of the "#united" campaign. I supported various stakeholders and teams from different trades in successfully implementing the relaunch and creating a modern and user-friendly online presence for RTL News.
Project
- Web Performance
- Marketing
- Data Protection
- Web Development
- Frontend
- Backend
- Microservice
- DevOps
- TypeScript
- ReactJS
- NextJS
- NodeJS
- NestJS
- PHP
- MySQL
- MongoDB
- REST
CoachHub relies on Low-Code technology and modern web tools
CoachHub is a leading German startup in the field of coaching platforms, supporting companies and individuals in over 50 countries worldwide. CoachHub offers a platform for human resources development and coaching where customers can choose high-quality coaches and book individual coaching programs. The platform connects customers and coaches in a simple, user-friendly, and flexible system tailored to the individual needs and goals of each customer.
In the first subproject, we developed a proprietary CRM dashboard for CoachHub to comply with data protection regulations. We used a low-code platform, SQL databases, and NodeJS middleware to implement the dashboard and improve efficiency and scalability.
In the second subproject, I was part of a team involved in the development of a feature. This feature allowed customers to share coaching logs and give feedback. Modern web technologies such as ReactJS, TypeScript, and Docker were used in this process. The feature was a significant step to enhance the platform's user-friendliness.
Tasks & Methodologies
CoachHub is a leading German startup in the field of coaching platforms, supporting companies and individuals in over 50 countries worldwide. CoachHub offers a platform for human resources development and coaching where customers can choose high-quality coaches and book individual coaching programs. The platform connects customers and coaches in a simple, user-friendly, and flexible system tailored to the individual needs and goals of each customer.
In the first subproject, we developed a proprietary CRM dashboard for CoachHub to comply with data protection regulations. We used a low-code platform, SQL databases, and NodeJS middleware to implement the dashboard and improve efficiency and scalability.
In the second subproject, I was part of a team involved in the development of a feature. This feature allowed customers to share coaching logs and give feedback. Modern web technologies such as ReactJS, TypeScript, and Docker were used in this process. The feature was a significant step to enhance the platform's user-friendliness.
Tasks & Methodologies
- CRM-Dashboard
- Web Development
- Feature Development
- Software Architecture
- Coordination with Stakeholders and Specialist Groups
- Low Code
- NodeJS
- ReactJS
- TypeScript
- PostgreSQL
- Middleware
- Docker
Big Data Platform for Vehicle Fleets
Big Data and IoT enable the collection and analysis of large amounts of data generated by sensors in a vehicle fleet. The platform can visualize and analyze time series and data points from various vehicle sensors on a map in real-time. It can be used to improve the efficiency and safety of the vehicle fleet and applied in fields such as urban services. It also allows for predictive analysis to plan and optimize future maintenance needs and costs.
As a web developer and software architect, I developed a research prototype of a Big Data platform in ReactJS that processed vehicle data with NodeJS and DynamoDB in the AWS Cloud. The platform could access a very large amount of data efficiently and present it in real-time in a web dashboard. Additionally, AI models were integrated to perform calculations based on the data. The map visualization also allowed for the evaluation of the road condition and traffic situations to enable optimized traffic planning.
Tasks & Methodologies
Big Data and IoT enable the collection and analysis of large amounts of data generated by sensors in a vehicle fleet. The platform can visualize and analyze time series and data points from various vehicle sensors on a map in real-time. It can be used to improve the efficiency and safety of the vehicle fleet and applied in fields such as urban services. It also allows for predictive analysis to plan and optimize future maintenance needs and costs.
As a web developer and software architect, I developed a research prototype of a Big Data platform in ReactJS that processed vehicle data with NodeJS and DynamoDB in the AWS Cloud. The platform could access a very large amount of data efficiently and present it in real-time in a web dashboard. Additionally, AI models were integrated to perform calculations based on the data. The map visualization also allowed for the evaluation of the road condition and traffic situations to enable optimized traffic planning.
Tasks & Methodologies
- Design and implementation of a Big Data platform
- Setting up a Big Data pipeline
- Development of a web dashboard for data visualization
- Performing tests
- Optimizing the platform
- Deploying the platform for the customer
- Documenting the platform and the development process
- Big Data
- IoT
- ReactJS
- NodeJS
- DynamoDB
- AWS Cloud
Certificates
Oracle Certified Professional Java Programmer (OCPJP)
na.2013