Largest e-commerce company in Germany, team size: 8
Technologies: Java, Kotlin, Spring Boot, Python, TypeScript, AWS (Lambda, EKS, SQS, SNS, S3, DynamoDB, Step Functions, EC2, EKS, IAM, VPC, Glue, CDK), Playwright, Selenium, JUnit, ArchUnit, pytest
Methods: Kanban, Pair Programming, TDD
Company in the media and publishing sector, team size: 10.
Projects: Process automation and system integration.
Technologies: Java, Spring Boot, Spring Security, Python, Amazon AWS (CDK, API Gateway, Cognito, SQS, S3, SNS, Lambda, DynamoDB, IAM, CloudWatch, EC2, VPC, Route53), Google Cloud Storage, Camunda Cloud, Apache Camel, Docker, Kubernetes, Rancher, Redis, Micrometer, Splunk, Microsoft Power Automate, JUnit, WireMock, Mockito, GitLab CI/CD
Methods: Kanban, CI/CD, Pair Programming, TDD, Clean Code
Team size: 20-30.
Projects: Development of interfaces in the context of internal security and modernization of a monolith in an enterprise Java environment.
Technologies: Java, JAX-WS, JAXB, Spring Boot, Spring Data, Spring Security, Spring MVC, Apache Camel, Struts, WebLogic, Servlets, JAX-RS, CDI, Bean Validation, JSP, Vue.js, Bootstrap, JUnit, Mockito, REST-assured
Methods: Scrum, CI/CD, TDD, Clean Code
World market leader in temporary power supply, heating, and cooling, team size: 8-10.
Project: Development of control software for a battery storage solution. The core service handles the system control.
Technologies: Java, Kotlin, Spring Boot, Spring Data, JMS, Apache Camel, Apache ActiveMQ, Prometheus, Grafana, Docker, OpenShift, MySQL, Python, Rust, actix-web, serde, JUnit, Mockito
Methods: Scrum, CI/CD, Pair Programming, TDD, Clean Code
Innovative company for energy storage solutions, integrated into Aggreko in 2018 (see above), team size: 4.
Projects: Development of algorithms for optimized power control in battery storage systems.
Technologies: Java, Apache Camel, OSGi, Spring Boot, Spring Data, MySQL, Python, numpy, pandas, scipy, matplotlib, JUnit, Mockito
Methods: Scrum, CI/CD, Pair Programming, TDD, Clean Code
Financial, business, and IT consulting for banks and insurance companies. Team size: 10.
Project: Data Management / Bank. Work in a bank's risk-related area for market data.
Technologies: Java, Python, Bash, Oracle DB
Project: PhD project on “Nonlinear Gain Dynamics of Quantum Dot Semiconductor Optical Amplifiers”.
Technologies: Python, numpy, pandas, scipy, matplotlib, C++
I am a Fullstack Software Engineer and Cloud Architect experienced in building scalable, efficient, and resilient systems. Over the years I have designed and built end-to-end applications, architected cloud infrastructures, and implemented CI/CD pipelines in industries ranging from energy and media to government and finance. My work has spanned from migrating services to modern cloud setups to developing smarter algorithms for energy systems, always focusing on performance, cost, and reliability.
I have a strong command of technologies such as Java, Kotlin, Python, TypeScript, AWS services, and many more. My approach combines agile methods with test-driven development and clean code practices, ensuring practical and robust solutions across diverse technical landscapes.
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