# Faye Zhang

> Staff AI Engineer, Tech Lead @Pinterest

Location: San Francisco, California, United States
Profile: https://flows.cv/fayezhang

AI Tech Lead at Pinterest, driving Growth products that power content discovery and shopping through LLM post training, AI agents, and Recsys. 

Outside of work, I contribute to genomic sciences research at university labs, building LLMs for mRNA analysis with multiple publications in scientific journals. 

Serve as QCon engineering conference AI track host and contributor to O'Reilly podcasts and online courses.

## Work Experience
### Staff Software Engineer, Tech Lead @ Pinterest
Jan 2024 – Present | San Francisco, California, United States
Growth AI Applications: LLM Post Training, Agent, RecSys

### Senior Software Engineer, Tech Lead @ Pinterest
Jan 2021 – Jan 2024 | San Francisco, California, United States
Played a crucial part in user acquisition to reach millions of users worldwide. Scaling data platform, ML, and GenAI features to drive global growth:

• Led Pinterest's first GenAI production experiment on user activation and content enrichment, resulting in a significant 20% increase in traffic and a 60% boost in user engagement 
• Identified and capitalized on opportunities to enhance the unauth user shopping initiative by building a shopping landing experience that prioritized trending searches, strong shopping intent, and showcased top product offerings. Achieved a 10% in quality sessions improvement and 80% shopping traffic growth.
• Designing and optimizing large-scale machine learning systems, including content ranking systems to spotlight Pinterest's top-tier content. This led to an 15% surge in traffic, 120M boost in WAU and highest content index rate from search engine in Pinterest history
• Designed and developed the Pinterest internal A/B testing experiment framework, which increased 30% engineers' weekly productivity across multiple teams
•Technologies: LLMs (fine-tuning, RAG), Machine Learning (PyTorch, Ray), Python, Scala, Java, SQL, Spark, Kubernetes, Airflow, AWS

### Senior Software Engineer @ EasyPost
Jan 2020 – Jan 2020 | San Francisco, California, United States
• Developed a SmartRate API to select optimal shipping rates based on time-in-transit criteria, reducing costs by 15% for enterprise clients and processing over millions of requests daily with 99.99% uptime
• Engineered a high-throughput, fault-tolerant data pipeline using Kafka and Spark Streaming, processing 50TB+ daily shipping data with sub-second latency including live shipment tracking (200K events/sec peak)
• Optimized database performance for high-volume transaction processing: Implemented sharding and read replicas with efficient indexing strategies and query optimizations, reducing p99 query latency by 60%
• Technologies: Python, MySQL, Vertica, SQLite, Kafka, Docker, Jenkins, Vagrant

### Software Engineer @ Reputation
Jan 2017 – Jan 2020 | San Francisco Bay Area
• ETL models to sort terabytes of customer feedback data
• Business category mapping system via DNN include Google, Facebook, Yelp, Bing and etc. 
• NLP and sentimental prediction model to monitor for online reputation management utilizing to anticipate business needs and customer concerns.
• Technologies: Python (Pandas, NumPy, Keras, Scikit-learn, TensorFlow, Cherrypy, Flask), SQL, D3.js, Node.js, Maven, AWS(Redshift, S3, EC2, Mturk), Mongodb, Sumo Logic, Jenkins

### Research Assistant @ Georgia Tech Research Institute
Jan 2016 – Jan 2016 | Atlanta, Georgia, United States
• Actively participated in Edge Cloud Composites (ECC) research project
• Worked with a research team on integration of resource between personal devices/home appliances and personal clouds that created at hypervisor level

### Software Engineer @ Funding Circle US
Jan 2016 – Jan 2016 | San Francisco, California, United States
• Financial Data and Loan Predication

### Software Engineer @ Wayfair
Jan 2015 – Jan 2015 | Boston, Massachusetts, United States
• Data Platform and Warehouse Fulfillment


## Education
### Artificial Intelligence
Stanford University
Jan 2024 – Jan 2026

### Bachelor of Science - BS in Computer Science
Georgia Institute of Technology
Jan 2012 – Jan 2016


## Contact & Social
- LinkedIn: https://linkedin.com/in/fayezhang413

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