Shanfeng Feng
Staff Software Engineer at Google
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolShanfeng Feng is a Staff Software Engineer based in San Francisco with four years of hands-on experience building large-scale data acquisition infrastructure for Google Search and Gemini. Rising quickly through engineering levels at Google, he focuses on powering reliable, production-grade pipelines and OLAP query integrations that support massive analytics workloads. His background includes internships that spanned big-data processing, dashboarding, and full-stack development, reflecting both backend systems depth and product-facing delivery. Known for pragmatic problem solving, he has implemented counting and table-valued function support in high-throughput systems and productionized pipelines on Google’s orchestration platforms. A UC San Diego computer science graduate and former head tutor, he pairs technical rigor with a knack for mentoring and clear documentation. Outside core projects, he brings a steady, “Hello everyday” curiosity that fuels iterative improvement across infrastructure and tooling.
3 years of coding experience
6 years of employment as a software developer
University of California, San Diego
Github Skills (57)
recommendation-system10
bigquery10
mysql10
diffusion-models10
big-data10
inference10
vectordb10
openvino10
analytics10
olap10
mpp10
sql10
ai10
generative-ai10
clickhouse-client10
Programming languages (4)
Github contributions (5)
myscale/MyScaleDB
Mar 2024 - Nov 2024
A @ClickHouse fork that supports high-performance vector search and full-text search.
Contributions:4 releases, 1 review, 7 PRs in 7 months
annbig-dataembeddingimage-searchllm
Aed-p/MyScaleDB
May 2024 - Feb 2025
An open-source, high-performance SQL vector database built on ClickHouse.
Contributions:13 pushes, 29 branches in 9 months
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