Thore is an ML Engineer with a passion for building and deploying multimodal LLMs. He enjoys working on the full stack of AI systems—from training embedding models and optimizing RAG pipelines to deploying on-premises LLM infrastructure. Thore is also a GraphQL and Rust enthusiast who loves exploring modern developer tools and building high-performance systems. His journey into AI started with research on Physics-Informed Neural Networks during his Master’s thesis, and he's been excited about pushing the boundaries of applied machine learning ever since.
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