Heather Han
Machine Learning Engineer at Atlassian
Los Angeles, California, United States
Summary
👤
Senior🎓
Top SchoolHeather Han is a machine learning engineer with nine years of experience building data-driven systems across biotech and enterprise software, currently applying ML at Atlassian after leading ML efforts at Atomwise. She blends a strong academic foundation from Johns Hopkins with hands-on production experience—designing Bayesian and ML models, automating pipelines with Airflow, Docker, Kubernetes, and migrating analytics to Snowflake. Her work at Zymergen and Genentech shows a knack for turning experimental biological data into scalable analytics and reproducible tooling, including a template repo that cut package setup time by 85%. Based in Los Angeles, she pairs domain expertise in computational genomics with practical MLOps skills, and often serves as the bridge between data science and lab or product teams to translate research into deployable solutions.
9 years of coding experience
8 years of employment as a software developer
Johns Hopkins University
English, Chinese, Chinese
Stackoverflow
1reputation
0reached
1answer
0questions
Github Skills (3)
machine-learning6
kmeans6
python6
Programming languages (1)
Github contributions (5)
jfb843/CloudComputing
Mar 2019 - May 2019
Contributions:56 commits, 56 pushes in 1 month
heather-han/cancer-gene-prediction
Apr 2017 - Aug 2018
Contributions:18 pushes, 1 branch in 1 year 3 months
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