Masajiro Iwasaki
Senior Chief Researcher at LINEヤフー株式会社
Yokohama, Japan
Summary
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Rockstar🎓
Top SchoolMasajiro Iwasaki is a seasoned research leader and senior chief researcher based in Yokohama with over 9 years of documented experience and a multi-decade engineering career spanning NEC, Ricoh, and Yahoo! JAPAN to his current role at LINEヤフー. He specializes in approximate nearest neighbor (ANN) search and has contributed notable integrations and algorithm work to prominent open-source benchmarks like ann-benchmarks, including support for PANNG/NGT variants. Holding advanced engineering and PhD-level credentials from Waseda and Keio, he combines deep academic grounding with practical production research. Known for being available for consulting and customizing NGT, he blends hands-on ML engineering with strategic research leadership across large-scale search and recommendation systems.
9 years of coding experience
17 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at 慶應義塾大学Master of Engineering - MEng, Master of Engineering - MEng at 早稲田大学 WASEDA University
Github Skills (10)
nearest-neighbor-search10
algorithms10
benchmarking10
benchmark10
approximate10
neighbors10
python10
nearest-neighbors10
dockers5
docker5
Programming languages (3)
Github contributions (5)
erikbern/ann-benchmarks
May 2018 - Aug 2022
Benchmarks of approximate nearest neighbor libraries in Python
Role in this project:
ML Engineer
ML EngineerContributions:14 commits, 15 PRs, 25 comments in 4 years 3 months
Contributions summary:Masajiro contributed significantly to implementing and integrating various approximate nearest neighbor (ANN) algorithms within the `ann-benchmarks` project. Their work involved the integration of new ANN libraries like PANNG (NGT) and ONNG (NGT), as well as updates to existing ones such as the NGT-QG. The commits reveal modifications to core algorithm implementations, parameter adjustments, and integration with the benchmarking framework. These changes demonstrate a focus on expanding the project's coverage and capabilities in the domain of approximate nearest neighbor search.
pythonnearest-neighbornearestdockerbenchmark
yahoojapan/NGT
Sep 2016 - Jan 2023
Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data
Contributions:108 releases, 2 reviews, 126 commits in 6 years 4 months
high-dimensional-dataapproximate-nearest-neighbor-searchkd-treeneighbor-searchneighborhood
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