Robin Schmucker is an NLP and LLM scientist with ~8 years of experience bridging academic research and industry deployment, currently driving applied AI at JPMorganChase after postdoctoral work at CMU and UC Berkeley. He specializes in machine learning for human-AI interaction and large-scale online education, having designed and shipped transformer- and LLM-based personalization systems that improved outcomes for millions of CK-12 users. His background includes a PhD in Machine Learning from CMU, AWS internships contributing to AutoGluon and multi-objective HPO algorithms, and research stints in human-robot interaction and ubiquitous computing. Comfortable moving models from research to product, he combines rigorous experimentation with production-minded engineering across conversational agents, LSTMs, and modern transformer stacks. Based in London, he blends European training (KIT) with U.S. research networks, enabling cross-institution collaborations and practical impact at scale. A detail that often surprises collaborators: he pairs deep theoretical ML expertise with hands-on deployment experience across both education platforms and cloud ML tooling.
7 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Karlsruhe Institute of Technology (KIT)
Doctor of Philosophy - PhD, Machine Learning, Doctor of Philosophy - PhD, Machine Learning at Carnegie Mellon University
Contributions:22 commits, 25 PRs, 28 pushes in 2 years 11 months
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Robin Schmucker - NLP LLM Scientist - Associate Sr