# Sally Z.

> Software Engineer at Pinterest

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

Sally is a backend software engineer with a focus on ads.

## Work Experience
### Software Engineer @ Pinterest
Jan 2024 – Present | New York, NY
Ads / Monetization
- Commerce Integration: Shopify Pinterest Integration
- Identity: Single Sign-on (SSO) Integration

### Software Engineer, Backend @ LinkedIn
Jan 2021 – Jan 2024 | New York, New York, United States
Ads (LinkedIn Marketing Solutions)
- GAI Ads
- Ad Formats
- Advertiser Experience
- Sponsored Messaging

### Software Engineer, Data Infrastructure @ LinkedIn
Jan 2020 – Jan 2021 | New York, New York, United States
- Big Data Platforms, Storage Infrastructure: Hadoop, HDFS, Azure
- Distributed Graph Database: LIquid

### Peek Weekend Participant @ Harvard Business School
Jan 2020 – Jan 2020
Selected to participate in HBS Peek Weekend Program, which is designed for college students to gain knowledge and insight into the MBA degree.

### Head Teaching Assistant @ USC Viterbi School of Engineering
Jan 2019 – Jan 2020 | Los Angeles, California, United States
Head TA for Course: CSCI 170 - Discrete Methods in Computer Science.
- Semesters: Fall 2019, Spring 2020.
- Managed a team of 30+ course staff and held training sessions for newly joined teaching assistants and graders.

### Teaching Assistant @ USC Viterbi School of Engineering
Jan 2018 – Jan 2019 | Los Angeles, California, United States
TA for Course: CSCI 170 - Discrete Methods in Computer Science.
- Semesters: Spring 2018, Summer 2018, Fall 2018, Spring 2019, Summer 2019.
- Held regular office hours and led discussion section every week to support the class with peer tutoring.
- Collaborated with professors and teaching assistants to write solutions for 12 assignments and 3 exams every semester. 
- Verified proof completeness for over 300+ student solutions and held review sessions before exams every semester.

### Software Engineer Intern @ Jet
Jan 2019 – Jan 2019 | New York City Metropolitan Area
Data Engineering Team at Jet.com / Walmart eCommerce.
- Identified 5 misbehaving data pipelines across the streaming data ecosystem with Spark Streaming and Kafka Streams.
- Created high-level metrics and alerting rules with InfluxDB and TICK monitoring stack to monitor data quality.
- Built a real time anomaly detection and online learning model with Spark MLlib on Microsoft Azure HDInsight clusters.
- Scaled automated ML pipelines by subscribing to source data streams, pipeline metric streams and environment data.
- Lowered maintenance and development cost by 18% and improved operational integrity by proactively addressing data issues.

### Research Assistant @ Information Sciences Institute
Jan 2018 – Jan 2018 | Los Angeles, California, United States
Machine Intelligence and Data Science (MINDS) Group.
Project TILES: A study using sensors to track how individual differences, mental states and well-being affect job performance.
- Analyzed complex raw datasets with time series visualization, correlation heat maps and kernel density distribution.
- Determined the validity of data by comparing input data from different sensors and researched documentations for each sensor.
- Implemented anomaly detection using density-based techniques, k-nearest neighbors and local outlier factor.
- Increased the speed of data cleaning by 15%, boosted quality of data collected, reducing missing data and outliers by 20%.

### Research Assistant @ Tsinghua University
Jan 2017 – Jan 2017 | Beijing, China
Big Data Group at Energy Internet Research Institute.
- Optimized machine learning algorithms to increase the accuracy for dissolved gas analysis (DGA) of power transformers.
- Analyzed relevant publications and classified fault of power transformers to expand the raw DGA data set.
- Performed data augmentation and reduced overfitting by adding Gaussian noise to ensemble techniques, bagging and boosting.
- Researched and implemented MOPSO algorithm, optimized it with feature subset selection and ensemble classifier selection.
- Increased reliability in every fault case with final implementation compared to traditional decision tree methods.

### Summer Intern @ Industrial and Commercial Bank of China
Jan 2014 – Jan 2014 | Zhuhai, Guangdong, China
- Drafted contracts and input the customers’ information into the computer system. 
- Contacted existing and potential customers in investment banking department.

### Trainee @ HSBC
Jan 2013 – Jan 2013 | Shenzhen, Guangdong, China
Future Banker Program.
- Learned about basic knowledge of finance and banking, such as stocks and securities.
- Introduced finance knowledge to bank officer, including the operation of a bank.
- Simulated a working scene in a typical bank and got the first place in the final presentation.


## Education
### Bachelor of Science - BS in Computer Science
University of Southern California

### High School Diploma in Cambridge GCE A-Level(s), Cambridge IGCSE
Shenzhen College of International Education

### Cambridge IGCSE
Dulwich International High School Programme Hengqin


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

---
Source: https://flows.cv/sallyz
JSON Resume: https://flows.cv/sallyz/resume.json
Last updated: 2026-04-05