Yusheng Ma
HRBP at Whale
Hangzhou City, Zhejiang, China
Summary
🤩
Rockstar🎓
Top SchoolYusheng Ma is an HRBP with nine years of professional experience bridging technical hiring and talent strategy, currently based in Hangzhou. Previously a recruiter at Zilliz and ByteDance, Yusheng supported talent acquisition for cutting-edge AI and cloud-native projects such as Milvus, gaining hands-on familiarity with vector databases and MLOps hiring needs. Though now focused on HR, Yusheng’s GitHub footprint reveals strong backend engineering experience in heterogeneous computing, C++/Python and Go—contributions include core fixes and GPU memory improvements to the high-profile Milvus vector database. This combination of recruiting expertise and technical literacy enables Yusheng to evaluate and attract senior engineering talent with uncommon depth. Educated in finance and financial mathematics (University of Exeter and Liaoning Normal University), Yusheng brings analytical rigor to people programs and hiring metrics. Colleagues value Yusheng for translating complex technical requirements into pragmatic hiring strategies that scale.
9 years of coding experience
Undergraduate, Financial Mathematics, Undergraduate, Financial Mathematics at 辽宁师范大学Master's degree, Money Banking and Finance, Master's degree, Money Banking and Finance at University of Exeter
Github Skills (33)
algorithm10
vector-search10
algorithms10
c-language10
multithreading10
mp310
databases10
vector-database10
data-structure10
go10
thread10
hyper-threading10
fileio10
flac10
golang10
Programming languages (8)
Github contributions (5)
Presburger/qmc-decoder
Apr 2019 - Apr 2019
Role in this project:
Back-end Developer
Back-end DeveloperContributions:2 pushes, 1 branch in 1 day
Contributions summary:Yusheng primarily worked on the core functionality of a QMC (QQ Music Crypto) file decoder. They implemented the initial decoder logic, including a custom `Seed` class for handling encryption/decryption. Furthermore, the user addressed bug fixes related to MP3 conversion and added support for additional file formats like qmcogg. The commits also include improvements like multi-threading support and Windows compatibility.
milvus-io/milvus
Sep 2022 - Jan 2023
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
Role in this project:Back-end Developer
Back-end DeveloperContributions:19 reviews, 3 commits, 50 PRs in 4 months
Contributions summary:Yusheng primarily contributed to the Milvus vector database project by modifying core functionalities, including index implementations, and updating dependencies. Their work included fixing compilation issues, enhancing GPU memory management, and improving the handling of index serialization. They also made adjustments to the project's build configuration and dependencies to address conflicts and incorporate the latest updates. Further work involved supporting new versions of external libraries and addressing potential crashes on specific hardware architectures.
cloud-nativemilvusvector-databaseannsnearest-neighbor-search
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