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\name{Dennis}{Thiessen, M.Eng.}
\address{Bern, Switzerland}{}{}
\phone[mobile]{+41~795~955~585}
\email{dennis@thiessen.io}
\extrainfo{\href{https://linkedin.com/in/dennis-thiessen}{linkedin.com/in/dennis-thiessen}}

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\recipient{Hiring Committee}{Architecture, Platforms and Intelligence\\Bank for International Settlements\\Basel, Switzerland}
\date{\today}
\opening{Dear Members of the Hiring Committee,}
\makelettertitle

\begin{justify}
BIS's Project Gaia caught my attention because it applies LLMs to a real data problem: extracting usable climate-risk indicators from unstructured corporate disclosures despite differing reporting frameworks. That emphasis on dependable data, explicit technical choices and useful applications for central banks fits the work I do today. As a Staff Data, Analytics \& AI Engineer at Swisscom, I build governed data products and metadata on AWS that make enterprise information discoverable for analytics and AI. I am applying for the Senior Data \& Analytics Engineer -- Artificial Intelligence role to bring that production mindset to Banking Technology.

My strongest production ML experience came at Bosch Semiconductor in Dresden. I designed and deployed Docker- and Kubernetes-based ML inference for automated image classification in a 24/7 wafer fab, where delivery had to operate alongside live manufacturing. I also built data services over OracleDB and Hadoop/ImpalaSQL for analysis applications, held Application Owner responsibility, and added observability through an ELK/Kafka proof of concept with Grafana and Prometheus. At Swisscom, I pair that operating discipline with Component Owner responsibility for business-critical Python/Kafka pipelines and their data quality, governance, incident response and on-call SLA.

Earlier, at Fraunhofer CML, I contributed ML and NLP components to ARTUS, an automatic sea-rescue transcription project, and built containerized REST microservices for maritime data exchange. This gives me a practical bridge from NLP research to the LLM-enabled application work BIS is pursuing through Project Voyager. I would welcome a conversation about how my experience deploying and operating AI-adjacent data systems can support your team as it evaluates, integrates and maintains applications for the Bank.
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\vspace{0.3cm}
{Sincerely,\\
Dennis Thiessen, M.Eng.\\
Staff Data, Analytics \& AI Engineer\\
Swisscom (Schweiz) AG}

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