/ About Me

I am currently a student at Augsburg University studying Computer Science and Business Administration. I'm also a Software Engineer intern at Target, working on backend development with the TIE team.

Languages I've worked with

  • Python
  • Java
  • Kotlin
  • JavaScript
  • HTML
  • CSS

Outside all this I enjoy watching Formula 1, exploring new technologies, and trying something out of my comfort zone.

/ Experience

  • Software Engineer Intern — Target

    —

    - Modernizing 50+ core backend services by migrating from Java to Kotlin, improving maintainability, readability, and long-term performance.

    - Designing and optimizing backend APIs supporting systems that track and manage 100K+ Target tech assets, including checkout registers and corporate laptops.

    - Refactoring and enhancing Kotlin microservices, improving code reliability and reducing system failures by 30% across distributed infrastructures.

    - Automating and streamlining Vela CI/CD workflows for 100+ deployments, cutting release times and minimizing manual intervention.

    - Building internal automation scripts and developer tools using Docker and Colima to ensure consistency across local and production environments.

    - Conducting extensive API integration and regression testing using Insomnia and internal QA frameworks to ensure consistency across 20+ services.

    - Contributing to GitHub Enterprise workflows (pull requests, semantic-release automation, peer reviews), ensuring smooth collaboration and high-quality releases.

  • IT Engineering Intern — Target

    —

    • Resolved and documented 100+ IT support tickets weekly, achieving a 95% first-contact resolution rate and improving end-user satisfaction.
    • Oversaw lifecycle management of 1,000+ devices (laptops, tablets, and mobile devices), ensuring accurate inventory and smooth onboarding/offboarding.
    • Configured and imaged 200+ laptops, tablets, and phones for enterprise deployment, standardizing environments and reducing setup time.
    • Coordinated large-scale deployment projects, minimizing downtime by 20% through efficient planning and execution.