Huanming Fang is a software engineer with 11 years of experience focused on scalable ML infrastructure and developer-facing systems, currently building ML tooling at Databricks. Previously at Google he co-led the Model Card Toolkit and was a main contributor to Fairness Indicators, helping operationalize ML model documentation and fairness evaluation for TFX pipelines. He also led developer outreach platform work on Google Cloud, designing dynamic notification schedulers and integrations that pushed actionable alerts into customers’ cloud consoles. Comfortable moving between research-adjacent ML tooling and production cloud systems, he blends strong engineering discipline from Syracuse University and Beijing Institute of Technology with a track record of shipping open, repeatable tooling that aids model transparency and fairness.
11 years of coding experience
5 years of employment as a software developer
Compter Engineering Software, Compter Engineering Software at Syracuse University
Bachelor's degree Electrical Electronics and Communications Engineering, Bachelor's degree Electrical Electronics and Communications Engineering at Beijing Institute of Technology
Contributions:4 pushes, 1 branch in 4 years 1 month
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