Yincheng Ren
Performance & Capacity Engineer at Meta
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolYincheng Ren is a seasoned performance and capacity engineer with 9 years of software experience building high-throughput, low-latency distributed systems for ads, recommendation, and fintech domains. He has driven capacity planning at Meta and architected mission-critical infrastructure at AWS—designing streaming, inference, and ads-serving pipelines that achieved sub-50ms to sub-250ms SLAs at massive scale. His background spans Amazon Ads, AWS Marketing, Gemini fintech, and Goldman Sachs lending platforms, combining systems design, ETL/streaming, and inference deployment expertise. Comfortable across backend, LLM deployment, and inference, he blends production-focused engineering with measurable operational impact—such as cutting manual review overhead by ~80% and scaling eligibility and tracking systems to tens of millions of users. Based in New York, he pairs rigorous distributed-systems skills with a pragmatic capacity-planning mindset that anticipates real-world traffic patterns and failure modes.
9 years of coding experience
6 years of employment as a software developer
Chongqing Nankai Secondary SchoolBachelor of Arts - BA, Computer Science, Bachelor of Arts - BA, Computer Science at University of Virginia
Github Skills (2)
sgd4
text-based3
Programming languages (2)
Github contributions (5)
Peterren/Internet_Scale
Sep 2018 - Apr 2019
For CS4501
Contributions:8 releases, 59 commits, 2 PRs in 7 months
jeffreysijuntan/EntityInvestment
Mar 2018 - Mar 2018
Contributions:2 PRs, 23 pushes, 2 branches in 1 day
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