Kari Eriksen is a Data Scientist with a Master’s in Computational Science and nine years of experience applying physics-rooted numerical thinking to practical software and data problems. She has hands-on experience building NLP systems and chatbots—exploring GPT-2/3, BERT, PyTorch and Huggingface—and recently experimented with RAG and LangChain for domain-specific retrieval. Kari also has a strong backend engineering background in Java and Quarkus, having designed rule engines and scalable services for the education and public sectors. Her work spans the full development lifecycle from requirements and architecture to testing and deployment on cloud and container platforms. Colleagues describe her as a curious problem-solver who bridges research-style experimentation with production-ready engineering. Based in Oslo, she brings a rare combination of scientific rigor, customer-facing product experience, and practical AI integration skills.
9 years of coding experience
3 years of employment as a software developer
Master of Science - MS Computational Science, Master of Science - MS Computational Science at University of Oslo
Contributions:71 commits, 47 pushes, 1 branch in 7 months
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