Thore is an ML Engineer focused on multimodal LLM systems, with experience across the AI stack—from training embedding models and optimizing RAG pipelines to deploying on-prem LLM infrastructure. A GraphQL and Rust enthusiast, he enjoys building high-performance systems and exploring modern developer tools. His journey into AI began with research on Physics-Informed Neural Networks during his Master’s thesis, sparking a lasting passion for applied machine learning.
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