Eric Liu
Exists I In Left(funemployment, Sabbatical Right)
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolEric Liu is a software engineer and former engineering manager with 12+ years of experience applying machine learning, mathematical optimization, and high-performance computing to revenue-driving products at Yelp and in startups. He led and scaled ML teams that delivered multi-million-dollar wins in ad budgeting and pricing, founded Yelp AML’s first international office, and bootstrapped the open-source Metric Optimization Engine (MOE) that later powered a YC-backed startup he co-founded. Comfortable moving between hands-on C++/Python systems and strategic leadership, he’s built feature stores, productionized XGBoost pipelines, and redesigned autobidding at scale. Eric’s background in scientific computing (MPI/OpenMP/CUDA) informs pragmatic system designs for large-scale Spark/MapReduce workloads, and he’s recently been exploring prompt engineering with LLMs. Notably, his work spans both deep theory—publishing novel algorithms in recreational math—and practical product impact, mentoring engineers into staff and management roles along the way.
12 years of coding experience
18 years of employment as a software developer
Master of Science (M.S.), Aerospace Engineering, Master of Science (M.S.), Aerospace Engineering at Massachusetts Institute of Technology
Chinese, English
Github Skills (13)
c-language10
cmake10
cprogramming-language10
python9
gaussian-processes9
machine-learning8
algorithm8
feature-selection8
optimization8
multiple-selection8
optimisation8
optimizers8
variable-selection8
Programming languages (3)
Github contributions (5)
Yelp/MOE
Mar 2014 - Apr 2017
A global, black box optimization engine for real world metric optimization.
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:393 commits, 6 PRs, 7 pushes in 3 years 1 month
Contributions summary:Eric's contributions brought MOE up to parity with a Yelp internal repository in C++. They refactored the codebase, replacing Makefiles with CMake, updating paths, and implementing optimization parameter classes. They also made changes to integrate compiled C++ code into the Python components of MOE.
boxoptimizationblack-box-optimizationblack-boxespn
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