Takuya Makino is an applied NLP research scientist with 13 years of industry experience translating cutting-edge language research into production systems. He specializes in large language models, information extraction, and search technologies, and has led a small research team to deliver PoCs that shaped product strategy across recruiting and news media. His work includes ACL-published methods for constrained summarization, a commercially deployed FAQ search patent, and significant engineering feats such as large-scale pretraining on Japanese corpora and a 50x faster CPU NER via knowledge distillation. Comfortable from prototyping to deployment, he has built high-performance engines in PyTorch, LibTorch, and C++ and managed GPU clusters for 70GB-scale pretraining. Holding a PhD from Tokyo Institute of Technology, he combines deep academic rigor with pragmatic product impact and a proven track record of mentoring peers to publish at top venues. Based in Kanagawa, Japan, he quietly blends research leadership with hands-on systems engineering to turn novel ideas into customer-facing solutions.
13 years of coding experience
10 years of employment as a software developer
Doctor of Engineering, Information Technology, Doctor of Engineering, Information Technology at Tokyo Institute of Technology
Bachelor of Engineering - BE, Electrical and Electronics Engineering, Bachelor of Engineering - BE, Electrical and Electronics Engineering at 同志社大学
Contributions:5 PRs, 54 pushes, 7 branches in 9 years 5 months
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Takuya Makino - Research Scientist at Megagon Labs