Shuchu Han
Senior Machine Learning Engineer at Feast
West Windsor, New Jersey, United States
Summary
🤩
Rockstar🎓
Top SchoolShuchu Han is a Senior Machine Learning Engineer with 11 years of experience building production ML systems, currently working on anomaly detection for Card Tech at Capital One. He combines a strong research background (PhD in Computer Science) with hands-on engineering, contributing to open-source Feast where he fixed critical bugs, improved on-demand feature view processing, and upgraded dependencies for security. His career spans real-time detection engines, UEBA pipelines on AWS (Managed Airflow, EMR Spark, S3), and infrastructure work at national labs, demonstrating comfort across data engineering, back-end systems, and model development. Based in West Windsor, NJ, he brings a pragmatic focus on performance and reliability and a habit of improving foundational tooling that quietly prevents production incidents.
11 years of coding experience
9 years of employment as a software developer
Master of Engineering (MEng) Computer Science, Master of Engineering (MEng) Computer Science at Nanyang Technological University SingaporeBachelor of Engineering (B.Eng.) Electrical and Electronics Engineering, Bachelor of Engineering (B.Eng.) Electrical and Electronics Engineering at Xi'an Jiaotong UniversityDoctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at Stony Brook University
English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (10)
machine-learning10
feature-store10
python10
protobuffer10
protobuf10
data-engineering10
sqlalchemy9
mlops9
big-data9
snowflake8
Programming languages (3)
Github contributions (5)
feast-dev/feast
Jan 2023 - Jan 2023
The Open Source Feature Store for AI/ML
Role in this project:
Back-end Developer
Back-end DeveloperContributions:72 reviews, 1 commit, 65 PRs in 1 day
Contributions summary:Shuchu primarily contributed to bug fixes and code improvements within the Feast project. Their work involved optimizing the store's performance and functionality by addressing issues related to the planning process. They upgraded the pyarrow library for security purposes and corrected protobuf object handling. Furthermore, they implemented changes to improve on-demand feature view processing and general code improvements.
pythondata-qualitydata-sciencemlmachine-learning
shuchu/NEURON
Jun 2016 - Apr 2023
Contributions:1 push in 6 years 10 months
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