Sam Junius is a Python AI developer with 11 years of experience who transitioned from a PhD in theoretical particle physics to building production-grade generative AI systems. At addData he focused on end-to-end data pipelines and prompt engineering for LLMs, ensuring high-quality structured inputs and tuning responses for real-world use cases, and he currently applies that expertise at Exalate. His academic work on simplified dark matter models and long-lived particle detection gave him deep experience in large-scale simulation, statistical modeling, and scientific software in Python and C++. Sam combines rigorous quantitative thinking with practical ML engineering, often bridging research-grade experimentation and deployable analytics. Based in Merchtem, Belgium, he is continuously expanding his toolkit across dashboards, prediction models, and generative frameworks, bringing a physicist’s precision to ambiguous AI problems. An understated strength is his fluency in turning complex simulation pipelines into clean, production-ready data flows that improve model reliability.
11 years of coding experience
3 years of employment as a software developer
Doctor of Science Physics, Doctor of Science Physics at Université libre de Bruxelles
Doctor of Science Physics, Doctor of Science Physics at Vrije Universiteit Brussel
Contributions:2 PRs, 12 pushes, 5 branches in 11 months
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