Taichi Nishimura

Senior Machine Learning Engineer at Sony Interactive Entertainment

Greater Tokyo Area Japan
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Summary

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Rockstar
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Top School
Taichi Nishimura is a Senior Machine Learning Engineer with a Ph.D. in Informatics from Kyoto University and nine years of experience building production-grade computer vision and multimodal systems. He specializes in low-level, high-performance inference engineering, shipping sub-10ms, sub-3MB CNN/LSTM/Transformer implementations for PlayStation in C++. Previously he led multimodal research at LY Corporation, authoring multiple papers on video and audio retrieval, highlight detection, and audio–visual representation learning. Taichi blends rigorous academic research with hands-on systems work—he moves ideas from reproducible research libraries and publications into memory- and latency-constrained real-world deployments. Based in the Greater Tokyo Area, he has a background spanning design (BE) to advanced machine learning, which gives him a practical edge in producing efficient, deployable models.
code10 years of coding experience
job2 years of employment as a software developer
bookBachelor of Engineering - BE, Design, Bachelor of Engineering - BE, Design at 九州大学
bookMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at Kyoto University
bookDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at 京都大学
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Github Skills (55)

opencv10
image-processing10
video-processing10
audio-processing10
audio10
perceptual9
python9
multimodal9
ocr9
pdf9
natural-language-processing9
image-text9
cpp9
computer-vision9
pdf-parser8

Programming languages (4)

OpenEdge ABLC++Jupyter NotebookPython

Github contributions (5)

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awkrail/Enc-Dec-AD

Jul 2017 - Nov 2017

Contributions:46 commits, 10 PRs, 36 pushes in 4 months
pytorcharxivabsdeep-learningdecoder
line/lighthouse

Jul 2024 - Aug 2025

[EMNLP2024 Demo], [ICASSP 2025], [ICASSP 2026] A user-friendly library for reproducible video moment retrieval and highlight detection. It also supports audio moment retrieval.
Contributions:13 reviews, 54 PRs, 196 pushes in 1 year
audiohighlight-detectionvideovideo-moment-retrievalcomputer-vision
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