Danny Chiao
Staff Software Engineer at Databricks
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolDanny Chiao is a Staff Software Engineer with 12 years of experience building AI/ML-driven web and mobile products that prioritize user impact, currently working on Lakehouse Monitoring at Databricks. He has led engineering teams at Tecton to commercialize feature pipelines and helped grow Feast’s open-source adoption ~5x, contributing core backend changes to the widely used Feast feature store. At Google he bridged research and product to deliver privacy-aware ML infra and intelligent features across Docs/Sheets/Slides, including work on LLMs and production integrations. His background spans enterprise, emerging markets, and education—where he’s shipped everything from search engines to Android crowd-sourcing apps deployed in multiple developing countries. Comfortable both leading teams and shipping deep backend systems, he combines product sensibility with data integrity focus on feature/data pipelines. He holds a B.S. in EECS from MIT and brings a track record of turning research ideas into scalable, production-grade systems.
12 years of coding experience
11 years of employment as a software developer
B.S Electrical Engineering & Computer Science, B.S Electrical Engineering & Computer Science at Massachusetts Institute of Technology
English, Chinese
Github Skills (5)
python10
cli10
software-design8
data-engineering7
big-data7
Programming languages (5)
Github contributions (5)
feast-dev/feast
Aug 2021 - Jan 2023
The Open Source Feature Store for Machine Learning
Role in this project:
Back-end Developer
Back-end DeveloperContributions:30 releases, 668 reviews, 381 commits in 1 year 5 months
Contributions summary:Danny contributed to the core logic of the Feast feature store, specifically within the CLI application's component interactions with the underlying data store. The commits focused on updating the `CLI apply` command to utilize the `FeatureStore` class, refactoring data source management, and making improvements to the online features and validation of the request. Code changes involve modifications in the core files, highlighting a focus on feature management and data integrity.
pythondata-qualitydata-sciencemlmachine-learning
feast-dev/feast-workshop
Apr 2022 - Dec 2022
A workshop with several modules to help learn Feast, an open-source feature store
Contributions:178 commits, 12 PRs, 150 pushes in 7 months
feature-storefeastworkshop
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