Yang
Summary
🤩
RockstarYang B is an Engineering Manager based in Menlo Park with five years of industry experience building AI-driven, cloud-native products across Facebook AI and Google. He combines a PhD background with hands-on expertise in deep learning, reinforcement learning, and robotics, and regularly ships production systems on TensorFlow and Google Cloud (Dataflow, Pub/Sub, BigQuery, Spanner). Yang has applied these skills to domains from smart home and energy grids to drones and e-commerce, and contributed notable meta-learning work to the popular Kats time-series toolkit. As a leader he bridges research and product teams, turning complex algorithms into scalable services, and his cross-disciplinary training (Tsinghua B.S., Northwestern PhD and management certificate) underpins both technical depth and people management.
5 years of coding experience
Github Skills (13)
meta-learning10
forecasting10
pandas10
machine-learning10
jupyter-notebook10
time-series10
forecast10
python10
data-analysis10
github9
testing8
documentation8
tensorflow3
Programming languages (1)
Github contributions (2)
facebookresearch/Kats
May 2021 - Jan 2022
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
Role in this project:
Data Scientist
Data ScientistContributions:1 review, 9 commits, 13 PRs in 7 months
Contributions summary:Yang contributed significantly to the `kats` repository, specifically focusing on the meta-learning framework and its application to time series forecasting. They added a new tutorial on meta-learning, integrating a paper reference, and updated and corrected existing tutorials. They also addressed test failures and fixed import issues related to the global model, demonstrating a deep understanding of the project's core functionality.
forecastingstatisticspythontime-series-analysisunderstanding
yangbk560/Kats
Apr 2023 - Apr 2023
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
Contributions:7 pushes, 1 branch in 2 days
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.