# Yincheng Ren

> Performance Capacity Engineer @ Meta

Location: New York, New York, United States
Profile: https://flows.cv/yinchengren

5+ YoE software engineer specializing in large scale recommendation system and ads serving engine. Currently working on capacity planning @Meta, with a track record of delivering high-throughput distributed systems across Amazon Ads, AWS Marketing, and fintech

## Work Experience
### Performance & Capacity Engineer @ Meta
Jan 2026 – Present | New York, United States

### Software Engineer @ Amazon Web Services (AWS)
Jan 2022 – Jan 2026 | New York, United States
AWS Applied AI Solutions: 
1. Architected comprehensive search API system for Amazon Connect Cases using Elasticsearch with RESTful APIs, pagination, and throttling for enterprise-scale operations.
2. Implemented SharedWorker-based Cases UI with cross-application messaging and customizable component framework

Amazon Ads Conversational Ads Experience:
1. Led sponsored brand video advertising integration for Amazon Chatbot Rufus, implementing Ads serving workflow with unified creative system handling PDP and Store campaigns. Integrated with auction engine for real-time bid filtering and brand matching algorithms. Optimized end-to-end latency to sub-250ms SLA while handling millions of impressions.
2. Architected automated ads quality score refresh system using AWS Glue ETL, processing millions of campaigns daily with real-time scoring algorithms, reducing oncall manual review overhead by 80%.

AWS Marketing Platform:
1. Architected real-time user interaction tracking system serving millions of users across AWS Marketing Platform, processing 66K TPS peak throughput with sub-50ms response times. Built distributed streaming architecture using Apache Flink/Kinesis, DynamoDB with GSI, and ECS-based API service with event deduplication and exactly-once processing.
2.  Launched Eligibility Service scaling to 100M+ users with intelligent diff-file processing using AWS Neptune, EMR Spark, and Kinesis streaming, reducing daily execution time to under 30 minutes.

### Senior Software Engineer @ Gemini
Jan 2022 – Jan 2022 | New York, United States

### Software Engineer @ Gemini
Jan 2022 – Jan 2022 | New York, United States
application and decisioning, account management, card transaction

### Software Engineering Analyst @ Goldman Sachs
Jan 2020 – Jan 2022 | New York, New York
Marcus Commercial Lending Engineering team. 

Develop and maintain various microservices for small business lines of credit and other lending products.

### Engineering Summer Analyst @ Goldman Sachs
Jan 2019 – Jan 2019 | New York, New York
Equities platform engineering(one delta)

Designed and developed high availability, high-performance trading desktop applications that power listed equities high touch trading globally to sales and trading


## Education
### Bachelor of Arts - BA in Computer Science
University of Virginia
Jan 2016 – Jan 2020

### Chongqing Nankai Secondary School
Jan 2014 – Jan 2016


## Contact & Social
- LinkedIn: https://linkedin.com/in/yincheng-ren

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Source: https://flows.cv/yinchengren
JSON Resume: https://flows.cv/yinchengren/resume.json
Last updated: 2026-03-23