Yifan Tian is a Senior Software Engineer in New York with nine years of experience building large-scale machine learning systems and production ML pipelines. He holds a Ph.D. in Physics (UC Irvine) and an MCS-DS from UIUC, blending deep theoretical training with practical data-science engineering. At Google he shipped TensorFlow-based NLP models and TFX pipelines for YouTube and Maps problems, and now contributes ML engineering expertise at Bloomberg. His technical toolkit spans Python, TensorFlow/Keras/PyTorch, large-scale data processing (MapReduce/GoogleSQL), and C++ tensor-network work from his research, enabling him to bridge research and production effectively. Notably, his background in quantum many-body simulation and ITensor development gives him a unique perspective on numerical methods and high-performance code in ML contexts.
10 years of coding experience
Bachelor of Science - BS, Physical Sciences, graduated, Bachelor of Science - BS, Physical Sciences, graduated at University of Science and Technology of China
University of Illinois Urbana-Champaign
Doctor of Philosophy (Ph.D.), Physics, 4.0, Doctor of Philosophy (Ph.D.), Physics, 4.0 at University of California, Irvine
:chart_with_upwards_trend: Stocks technical analysis code collection and Stocks data platform.
Contributions:37 commits, 33 pushes, 2 branches in 8 months
data-platformreactstockmongodbtwitter
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