# Peiqing Lu

> Software Engineer at Microsoft | AI, Backend or Infra |Former Amazon and Fortinet

Location: Maplewood, New Jersey, United States
Profile: https://flows.cv/peiqing

## Work Experience
### Software Engineer @ Microsoft
Jan 2024 – Present | New Jersey, United States
AI Satety Ops
-Built a full-stack portal to help swiftly respond to and mitigate incidents by quick patching with Docker.
-Maintaining an inference service hosting thousands of ML safety models with Azure ML and Tensorflow.
-Implemented a feature to evaluate the impact of quick fix on ML models on Azure Kubernetes service.
-Onboard ImageGen and Sora to the Orchestrator service to provide logging and annotation for OpenAI new models
-Expedited the deployment of quick fixes from central Azure SQL DB to all regions with Azure “Kafka” and CDC.

### Senior Software Engineer @ Fortinet
Jan 2023 – Jan 2024 | Sunnyvale, California, United States
FortiEDR (cybersecurity threat detection, protection and response)
-Built a full-stack web application for customers to manage licenses, billing files and cybersecurity environment.
-Developed the backend with Python Django, PostgreSQL and Docker and the frontend with React.js.
-Leveraged RabbitMQ and multi-thread Worker to handle heavy-load tasks like creating an environment and uploading big files, improving the service availability from 99.99% to 99.999% and deployment and processing time by 80%.
-Deployed our cybersecurity services and microservices on OpenStack/Google Kubernetes Engine with Shell Script.
-Streamlined CI/CD processes with Jenkins, boosting operational efficiency across the development lifecycle.

### Software Development Engineer @ Amazon
Jan 2020 – Jan 2023 | Seattle, Washington, United States
Alexa Entity Resolution Infrastructure
-Built an AI core engine and infrastructure of Entity searching (movie and music) on AWS ECS from Applications.
-Created resources on AWS CloudFormation and CloudWatch with CDK and TypeScript to monitor system performance, running services and improving security, ensuring 99.999% availability as a Tier-1 service.
-Increased the coverage rate of unit tests and Integration tests up to 80% with Mockito, TestNG and JUnit.
-Wrote shell scripts to install and clean up/set up AWS resources, improving development efficiency.
-Ran load tests to find the best Auto-Scaling rules for our Service, greatly improve the scalability.
-Created SNS service between our service and the Redis cluster and built its auto-scale rule.
-Created a Redis Cluster for caching the searching result and APIs to read from and write to the cluster.
Alexa Feedback
-Built the backend of the self-service website with AWS Lambda, facilitating customers to onboard their feedback.
-Built a customer-facing service on AWS EKS, collecting feedback from customers for the Alexa.
-Migrate our cloud infrastructure from Migrate AWS to Native AWS.
-Upgraded our old Redis Cluster to an updated version with CloudAuth, enhancing service security.
-Helped 10+ teams onboard their services to Alexa feedback, collecting feedback from the customers.
-Created a RESTful API talking to ranking service and employed a ranking mechanism to service reject rate.

### NLP Engineer Intern @ PingAn Medical & Healthcare
Jan 2020 – Jan 2020 | Shenzhen, Guangdong, China

### Data Engineer Intern @ 深圳市大数据研究院 Shenzhen Research Institute of Big Data
Jan 2017 – Jan 2017 | Shenzhen, Guangdong, China


## Education
### Master's degree in Computer Science
Boston University
Jan 2019 – Jan 2020

### Bachelor's degree in Computer Science and Technology
Shenzhen University
Jan 2015 – Jan 2018


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

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