Keisuke Takahashi is an AI Engineer and technical leader at IBM Client Engineering with 12 years of experience building cloud-native data platforms, Generative AI/RAG solutions, and full-stack applications for large enterprises. He combines hands-on prototyping with customer-facing leadership to turn ambiguous business problems into validated, scalable AI outcomes—examples include reducing multi-billion-record preprocessing from a day to under two minutes and delivering an 18x throughput improvement in insurance decision automation. His background spans Microsoft Azure Data&AI advisory work, product incubation, and open-source engagement (including Gluster community leadership and a long-running tech blog/GitHub presence). Comfortable leading cross-functional, multinational teams, he also focuses on growing AI engineering capability within organizations, not just delivering single projects. Practical, results-driven, and inventive, he often pairs novel architectures (graph databases, LLMs, big-data engines) with clear value demonstration to secure strategic contracts.
Contributions:173 commits, 71 pushes in 8 years 9 months
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Keisuke Takahashi - AI Engineer, IBM Client Engineering, Technology