Summary
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Rockstar🎓
Top SchoolSedrick Keh is a research scientist at Toyota Research Institute specializing in foundation models, LLM pre-training/post-training, and multimodal systems, building on three years of industry research experience. With an MS in Machine Learning from Carnegie Mellon, he has worked on language models for embodied systems and AI for social good, bridging rigorous academic research with applied industrial problems. His early work spans low-resource NLP, geospatial ML, and high-performance parallelized deep learning, giving him a practical edge in scaling models and experiments. Based in Los Altos, he combines strong mathematical and data-science foundations from HKUST with hands-on engineering across the model lifecycle, from prototyping to deployment. Notably, he progressed rapidly at TRI from AI resident to research scientist, reflecting both technical depth and an ability to translate research into impactful systems.
2 years of coding experience
6 years of employment as a software developer
Semester Exchange Program Mathematics, Semester Exchange Program Mathematics at University of Waterloo
International Baccalaureate Diploma Program, International Baccalaureate Diploma Program at Xavier School
Master of Science - MS Machine Learning (MS ML), Master of Science - MS Machine Learning (MS ML) at Carnegie Mellon University
Hong Kong University of Science and Technology (HKUST)