Kazuhiro Matsumoto
Director at Mizuho Securities Co., Ltd.
Tokyo, Japan
Summary
👤
Senior🎓
Top SchoolKazuhiro Matsumoto is a Director and data scientist at Mizuho Securities in Tokyo with eight years of experience modernizing fixed income workflows through cloud-native data engineering, ML and LLM-driven automation. He bridges sales, risk and engineering teams to deliver production ETL pipelines, Redshift/dbt data marts, CI/CD deployments and prototype web apps for portfolio simulation and recommender systems. His background in risk analytics and quantitative engineering (C++, R, FFT/PCA, SIMM/FRTB) uniquely informs ML solutions for investor targeting, sentiment analysis and JGB market color extraction. A Columbia MS in Operations Research and a trained physician-programmer by inclination, he combines rigorous quantitative methods with practical product delivery. Notably, he has led PoCs deploying Airflow, Hugging Face fine-tuning/PEFT and vector-search/LLM stacks (LangChain, Azure OpenAI) to turn unstructured sales notes into actionable financial recommendations.
8 years of coding experience
10 years of employment as a software developer
Bachelor of Engineering - BE, Industrial and Systems Engineering, 3.44, Bachelor of Engineering - BE, Industrial and Systems Engineering, 3.44 at Chuo UniversityMaster of Engineering - MEng, Industrial Engineering and Management, 3.6, Master of Engineering - MEng, Industrial Engineering and Management, 3.6 at Tokyo Institute of TechnologyMaster of Science - MS, Operations Research, 3.9, Master of Science - MS, Operations Research, 3.9 at Columbia University in the City of New York
Japanese, English
Github Skills (26)
google-cloud-platform10
async10
language-server-protocol10
vim10
neovim10
language-server10
google-cloud-build10
gcp9
docker9
google-cloud9
appengine9
google8
predictor5
reload4
flutter4
Programming languages (7)
Github contributions (5)
studiome/suture-eval-web-app
Sep 2019 - Nov 2022
Suture line evaluation applicaton
Contributions:2 PRs, 6 pushes in 3 years 2 months
applicatonpythonevaluation
studiome/clti_risk
Nov 2022 - Aug 2024
Risk predictor after revascularisation in patients with CLTI
Contributions:2 releases, 4 PRs, 143 pushes in 1 year 9 months
pythondeep-learningpatientsriskmachine-learning
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