# Yingping S.

> Deep Learning Engineer

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/yingping

Passionate in data science, algorithm implementation and visualization with popular framework.

## Work Experience
### Staff Software Engineer, Auto Driving Data & Deep Learning @ Faraday Future
Jan 2022 – Present | San Francisco Bay Area
Innovative Staff Deep Learning Software Engineer / MLOps Architect with experience in building and fine-tuning deep learning models, optimizing state-of-the-art (SOTA) vision models and distributed training architectures for autonomous driving. 
Expertise in AWS ecosystems (EC2, S3, Lambda, ECS, EKS, Airflow, DynamoDB, SageMaker) and MLOps tools.

### Big Data Developer @ Apple
Jan 2020 – Jan 2021
Large Scaled Data Management and infra refactor

### Developer @ Plexuss.com
Jan 2016 – Jan 2016

### Software Engineer @ Nortel Networks
Jan 2009 – Jan 2012
Developed digital signal algorithms based on Fast Fourier Transform(FFT) for CDMA Base Station platform.
Monitor system database, analysis signal information from transport layer using large datasets. Wrote testing code for BTS prototype bench and debug errors.
Participated system prototype testing in China CEPREI Laboratory.


## Education
### Master's degree in Computer Science
New York University

### BS
Southeast University


## Contact & Social
- LinkedIn: https://linkedin.com/in/yingping-s-5987a944

---
Source: https://flows.cv/yingping
JSON Resume: https://flows.cv/yingping/resume.json
Last updated: 2026-04-12