Hayate Iso
Senior Deep Learning Engineer at NVIDIA
Mountain View, California, United States
Summary
👤
Senior🎓
Top SchoolHayate Iso is a Senior Deep Learning Engineer with a Ph.D. in Information Science and a decade of experience building LLM-driven AI systems, now at NVIDIA after leading research at Megagon Labs. He specializes in long-context understanding, task-oriented NLP, multi-step reasoning, retrieval-augmented generation, and parameter-efficient fine-tuning (e.g., LoRA) to improve human-agent interaction and model faithfulness. Hayate designs evaluation frameworks—benchmarking, bias analysis, and instruction-ambiguity studies—that have informed publications at EMNLP, NAACL, and ACL. He mentors junior researchers and bridges academia and industry, having interned at Amazon and ByteDance and held a JSPS research fellowship. Based in Mountain View, he combines rigorous statistical foundations from Osaka University with hands-on production experience to translate cutting-edge research into scalable systems.
10 years of coding experience
5 years of employment as a software developer
Doctor of Engineering - DEng, Artificial Intelligence, Doctor of Engineering - DEng, Artificial Intelligence at Nara Institute of Science and TechnologyBachelor of Engineering Science - BES, Mathematical Statistics and Probability, Bachelor of Engineering Science - BES, Mathematical Statistics and Probability at Osaka UniversityElectrical and Electronics Engineering, Electrical and Electronics Engineering at Ibaraki National College of Technology
Github Skills (48)
sentence-embeddings10
latent-dirichlet-allocation10
gensim10
word2vec10
python10
arabic-nlp10
corpus10
data-science10
data-mining10
acl10
variational-autoencoder10
machine-learning10
word-embeddings10
information-retrieval10
lda10
Programming languages (3)
Github contributions (5)
megagonlabs/coop
Sep 2021 - Dec 2022
☘️ Code for Convex Aggregation for Opinion Summarization (Iso et al; Findings of EMNLP 2021)
Contributions:10 commits, 3 PRs, 10 pushes in 1 year 3 months
nlpinformation-theoryisonatural-language-generationunsupervised-learning
isomap/gensim
Mar 2016 - Sep 2016
Contributions:18 commits, 66 pushes, 30 branches in 5 months
nlpmachine-learningfor-humanstopic-modellingmodelling
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