Heguang Liu
Software Engineer, Machine Learning at Meta
Sunnyvale, California, United States
Summary
👤
Senior🎓
Top SchoolHeguang Liu is a seasoned software engineer specializing in machine learning with 13 years of experience building large-scale search ranking, query understanding, and model serving systems. He has led technical efforts at Uber on location search relevance, contributed to YouTube Ads and speech research at Google Brain/DeepMind, and now continues applied ML work at Meta. His strengths span deep learning, NLP, computer vision, and end-to-end model pipelines—from training to online serving and performance tuning for distributed systems. Trained at USC and Stanford’s Mining Massive Data Sets program, he combines strong research instincts with production-first engineering discipline. Colleagues describe him as a pragmatic problem-solver who translates complex academic ideas into reliable, high-throughput services in the Bay Area.
13 years of coding experience
11 years of employment as a software developer
M.S Computer Science, M.S Computer Science at University of Southern CaliforniaB.S Electrical Engineer and Computer Science Valedictorian, B.S Electrical Engineer and Computer Science Valedictorian at Southern Yangtze UniversityMining Massive Data Sets, Mining Massive Data Sets at Stanford University
Github Skills (9)
recurrent-neural-networks10
decoder9
squad8
natural-language-processing7
lstm7
nlp7
deep-learning6
question-answering6
pytorch5
Programming languages (1)
Github contributions (5)
hyuna915/squad
Feb 2018 - Jan 2020
Conditioning LSTM Decoder and Bi-directional Attention Based Question Answering System
Contributions:13 commits, 3 pushes in 1 year 10 months
pytorchnlpquestionsquadstanford-university
hyuna915/video_segmentation
May 2018 - Jan 2020
Contributions:52 pushes in 1 year 8 months
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