Guocong Song
Data Scientist Software Engineer
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolGuocong Song is a data scientist and software engineer with 12 years of experience building production ML and AI systems, currently researching deep learning at Playground.Global in Palo Alto. His background spans real-time bidding, CTR prediction, Hadoop/MapReduce pipelines, probabilistic data structures, and training/inference optimization for large models. Earlier work in wireless communications produced award-winning research, a Cambridge-published book, and influential contributions to LTE and beyond that have accrued over 1,500 citations. A five-time Kaggle competition winner, he pairs rigorous academic foundations (PhD, Georgia Tech; MS/BS, Tsinghua) with hands-on engineering to translate research into scalable, low-latency systems for advertising and streaming applications.
12 years of coding experience
9 years of employment as a software developer
PhD, Electrical and Computer Engineering, PhD, Electrical and Computer Engineering at Georgia Institute of TechnologyMS, BS, Electrical Engineering, MS, BS, Electrical Engineering at Tsinghua University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (20)
python10
data-science10
machine-learning10
ml10
deep-learning10
tensorflow10
deep-neural-networks10
neural-network10
reinforcement-learning9
flexibility8
julia5
mutation5
javascript5
portable5
mxnet4
Programming languages (2)
Github contributions (5)
songgc/tensormate
Dec 2016 - Mar 2020
Contributions:68 pushes, 1 branch in 3 years 3 months
songgc/TF-recomm
Apr 2016 - Feb 2017
Contributions:8 commits, 12 pushes, 1 branch in 10 months
recommendation-systemsrecommendationtensorflow
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