Benjamin Chu
Senior Software Engineer at Google
Taipei, Taiwan
Summary
👤
Senior🎓
Top SchoolBenjamin Chu is a Senior Software Engineer and machine learning practitioner with 11 years of experience building production-grade AI systems, now leading a team at Google. He combines deep-learning research (speaker diarization and speaker-dependent voice separation) with backend engineering, DevOps and front-end experience to bridge models to real-world products—previously shipping a Yoctol NLU platform that served 1,500+ models in production. His background spans security-minded model serving (encrypted TF serving and model-splitting), latency reduction for image systems, and scalable online-learning work evidenced by contributions to a Kaggle-focused repo optimizing FTRL and feature hashing. Comfortable translating product needs into technical plans, he thrives on making ML efficient, robust to adversaries, and practical in noisy, real-world environments. Based in Taipei, he blends academic signal-processing roots with hands-on systems engineering and cross-disciplinary team leadership.
11 years of coding experience
11 years of employment as a software developer
Bachelor's degree Electrical and Electronics Engineering, Bachelor's degree Electrical and Electronics Engineering at National Taiwan University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (7)
machine-learning10
kaggle10
feature-engineering10
python10
elearning9
cython9
automl4
Programming languages (13)
Github contributions (5)
jeongyoonlee/Kaggler
Dec 2016 - Jan 2017
Code for Kaggle Data Science Competitions
Role in this project:
Data Scientist
Data ScientistContributions:12 commits, 9 PRs, 17 comments in 1 month
Contributions summary:Benjamin contributed to the `kaggler` repository, which focuses on Kaggle data science competitions. The commits involve code modifications to enhance the performance of the `ftrl` online learning algorithm, specifically through optimization and indexing improvements within the Cython implementation. Further commits show the integration of the `murmurhash` module and its application to interaction features, which indicates feature engineering efforts aimed at improving model performance.
kagglepythonsciencedata-sciencemachine-learning
Yoctol/seq2vec
Feb 2017 - Nov 2017
Contributions:3 releases, 48 commits, 25 PRs in 9 months
nlprepresentationfixsequencetransform
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