Changgun Choi is a Senior Data Scientist based in Germany with 4 years of focused experience applying ML and GenAI to R&D and enterprise workflows. At Merck he has led practical GenAI proofs-of-concept—automating lab report generation, building a HazCom chatbot with RAG and ontology integration, and accelerating experimental analysis with LLMs—bridging data engineering, NLP, and Foundry AIP deployments. He combines hands-on implementation of transformer-based models with product-minded delivery, translating advanced research into operational solutions that streamline regulatory and lab processes. His background spans industry and academia, from Bosch procurement analytics to university research in risk management, giving him a strong foundation in both applied analytics and domain collaboration. Fluent in both technical build and stakeholder engagement, he regularly presents work at internal conferences and workshops to drive adoption. A practical innovator, he seeks opportunities where data and AI can simplify complex workflows and empower better decisions.
4 years of coding experience
5 years of employment as a software developer
Bachelor of Engineering - BE, Bachelor of Engineering - BE at Soongsil University
Bachelor's degree, Bachelor's degree at Berkeley City College
Master of Science - MS, Master of Science - MS at Universität Mannheim
Conditional implementation for NVIDIA's StyleGAN architecture
Contributions:12 pushes in 1 month
pytorchstylegannvidiadeep-learningconditional
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