Tomoaki Fujii
Machine Learning Engineer at Meta
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolTomoaki Fujii is a Machine Learning Engineer with a decade of experience applying deep learning, NLP, and reinforcement learning to quantitative trading and high-frequency market-making across crypto and traditional markets. He has driven production trading strategies and statistical arbitrage at firms including XR Trading and Trade Terminal, and now works on ML at Meta, combining research-grade methods with real-world execution. Author of the 300-star finance_ml repository, he translates academic financial ML techniques into reproducible code and notebooks focused on time series and stock data. With an academic background in applied mathematics and physics from Kyoto University, he blends rigorous quantitative foundations with hands-on engineering, notably bridging algorithmic research and low-latency trading systems.
10 years of coding experience
5 years of employment as a software developer
Master’s Degree Applied Mathematics, Master’s Degree Applied Mathematics at Kyoto University
Japanese, English
Github Skills (9)
pandas10
machine-learning10
jupyter-notebook10
time-series10
python10
data-analysis10
scikit-learn9
scikit9
finance9
Programming languages (2)
Github contributions (5)
jjakimoto/finance_ml
Jun 2018 - Oct 2021
Advances in Financial Machine Learning
Role in this project:
Data Scientist
Data ScientistContributions:37 commits, 4 PRs, 34 pushes in 3 years 4 months
Contributions summary:Tomoaki's contributions primarily focus on implementing machine learning algorithms for financial applications, as evidenced by the code changes in the Jupyter notebooks. Their work involves data manipulation, time series analysis, and the development of financial machine learning techniques. The user is working on implementing a variety of methods and techniques within the examples/Ch 3, Ch 4, and Ch 5 directories. They are focused on applying techniques to Google's stock data.
financialdata-sciencemachine-learningfinancial-machine-learningquantitative-finance
jjakimoto/jjakimoto.github.io
Dec 2016 - Oct 2018
Contributions:443 pushes, 7 branches in 1 year 10 months
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