Eric Liu
Research Analyst at Point72
United States
Summary
🤩
Rockstar🎓
Top SchoolEric Liu is a research analyst and University of Chicago student combining Economics and Computer Science with an MS in Financial Mathematics in progress, bringing nine years of hands-on experience in quantitative research and backend engineering. Currently at Point72, he has progressed from academy intern to research analyst, applying machine learning compiler and systems expertise to finance problems. His open-source work on prominent projects like IREE, OneFlow, TiDB, and vcpkg shows deep competence in compiler toolchains, build systems, and performance optimization across C++ and distributed systems. He’s particularly skilled at build automation, CI/CD, and eliminating hard-to-find memory and build issues—skills that translate into reliable production research pipelines. Notably, his GitHub tagline “Compiling Compilers” reflects a rare combination of low-level systems craftsmanship and quantitative market intuition.
9 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Financial Mathematics, Master of Science - MS, Financial Mathematics at University of ChicagoLeadership in the Business World, Leadership in the Business World at The Wharton School
English, Chinese, Spanish
Github Skills (42)
dependency-management10
c-language10
lib10
python10
redis10
package-management10
testing10
databases10
machine-learning10
build-system10
cmake10
go10
deep-learning10
cuda10
vcpkg10
Programming languages (20)
Github contributions (5)
apache/kvrocks
May 2022 - Jan 2023
Apache Kvrocks is a distributed key value NoSQL database that uses RocksDB as storage engine and is compatible with Redis protocol.
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:6 releases, 2156 reviews, 117 commits in 8 months
Contributions summary:Eric primarily focused on improving the build and dependency management of the Kvrocks project. Their work included refactoring the CMake build system to use `FetchContent` and eliminate git submodules, updating the build process, and adding options for compiler selection and build backend (Ninja). They also addressed memory leaks by compiling Lua with C++ compilers, improving code quality by fixing typos and adding code analysis tools. The user also contributed to adding features and improving TLS support.
redisnosqlrocksdbredis-protocolredis-cluster
Oneflow-Inc/oneflow
Aug 2021 - Jan 2022
OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.
Role in this project:Back-end Developer
Back-end DeveloperContributions:199 reviews, 116 commits, 60 PRs in 5 months
Contributions summary:Eric primarily focused on improving the OneFlow deep learning framework through bug fixes, performance enhancements, and code modernization. Their contributions included fixing memory leaks, optimizing the `unpack_call_dispatcher` for better performance, and addressing various compiler warnings. They also contributed to improving the build process by adding options for treating warnings as errors and including third-party headers as system headers.
caffe2tensorflowframework-learningchainerdeep-learning-framework
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