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\name{Dennis}{Thiessen, M.Eng.}
\address{Bern, Switzerland}
\phone[mobile]{+49 177 282 7302}
\email{dennis@thiessen.io}

\begin{document}

\recipient{To}{Felix Krackau\\Talent Acquisition\\Infineon Technologies AG\\Dresden, Germany}
\date{\today}
\opening{Dear Mr.\ Krackau,}
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\begin{justify}
At Bosch Semiconductor in Dresden, I spent three years deploying ML inference into a 24/7 300mm wafer fab, containerizing image-based defect classification models with Docker, Kubernetes, and Ansible so they could run continuously against production data with zero tolerance for downtime. That experience shaped how I think about ML in constrained, high-stakes environments. When I saw Infineon's AI Engineer role (HRC1429740), the connection was immediate: the same operational discipline, applied to Infineon's embedded AI ambitions and the Smart Power Fab expansion in Dresden.

Since joining Swisscom as a Staff Engineer, I've built cloud-native data infrastructure on AWS (S3, Glue, Athena/Iceberg, Redshift, Airflow) and own production Python applications deployed on Kubernetes with GitLab CI/CD. I actively apply generative AI and custom GPTs to automate engineering workflows, from code review to pipeline troubleshooting. Earlier, at Fraunhofer CML, I contributed ML and NLP components to ARTUS, a speech recognition research project for automatic sea rescue transcription. Across these roles, the common thread is taking ML from prototype to production: building the infrastructure, the deployment pipelines, and the monitoring that keep models running reliably.

I lived in Dresden during my time at Bosch and would welcome the chance to return. Infineon's push into edge AI, including the Imagimob acquisition and partnerships with Edge Impulse, aligns well with where I want to take my career: closer to the hardware, where ML meets real-world constraints. What I'd bring is the operational mindset from deploying ML in a running fab, paired with the cloud and GenAI skills to build what comes next. I'd be glad to discuss this further.
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\vspace{0.3cm}
{Sincerely,\\
Dennis Thiessen, M.Eng.\\
Staff Data, Analytics \& AI Engineer\\
Swisscom (Schweiz) AG}

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