Steve Yang
Staff Data Engineer
Los Angeles, California, United States
Summary
🤩
Rockstar🎓
Top SchoolSteve Yang is a Staff Data Engineer with 11 years of experience turning business questions into production-grade data and machine learning solutions, currently leading data engineering efforts at Meta in Los Angeles. He blends full-stack data science and robust software engineering—ETL/ELT, data modeling, ML development and deployment, and causal inference—to deliver measurable product impact. His background includes applied science at Uber and contributions to open-source Bayesian forecasting tooling (uber/orbit), reflecting a strong footing in probabilistic modeling and time-series validation. Trained at UC Berkeley's School of Information and USC, he excels at translating technical results into clear dashboards and narratives for diverse stakeholders, often surfacing causal insights that inform strategy.
10 years of coding experience
7 years of employment as a software developer
Bachelor's degree Economics; Music Technology, Bachelor's degree Economics; Music Technology at University of Southern CaliforniaMaster's degree Information and Data Science, Master's degree Information and Data Science at UC Berkeley School of Information
English, Korean
Github Skills (9)
bayesian-statistics10
forecasting10
machine-learning10
forecast10
bayesian10
stan10
python10
pytest8
pytorch4
Programming languages (1)
Github contributions (5)
uber/orbit
Jan 2020 - Dec 2020
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
Role in this project:
Data Scientist
Data ScientistContributions:5 releases, 22 reviews, 184 commits in 11 months
Contributions summary:Steve's contributions primarily involve working with data related to a time-series forecasting project. The commits include the implementation of code used to analyze stan model output, likely for a Bayesian forecasting package. Changes to testing resources and modifications to the models demonstrate involvement in model validation and testing. Overall, the user appears focused on analyzing and testing the Bayesian forecasting models.
forecastingpythonregression-modelstimeseries-forecastingforecast
steveyang90/2018-summer-main
May 2018 - Jul 2018
Contributions:138 pushes in 2 months
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