# Ziyi (Lucy) Liao

> Senior Software Engineer @ LinkedIn

Location: United States, United States
Profile: https://flows.cv/ziyilucyliao

Skills: Java, JavaScript, Python, React, Node.js, HTML5 & CSS
Database and Cloud:  MongoDB, MySQL, AWS EC2, AWS Lambda

Enjoy in coding and software development

## Work Experience
### Senior Software Engineer @ LinkedIn
Jan 2024 – Present
• Engineered a dynamic Learning Agent in LinkedIn Hiring Assistant that continuously personalizes hiring requirements and candidate recommendations by analyzing recruiter actions, leveraging a "cognitive memory agent" to surface relevant past interactions from the first engagement.

• Integrated asynchronous notifications and dashboard updates for LinkedIn Hiring Assitant to surface real-time qualification changes and task progress, ensuring recruiters remain informed of critical candidate matching signals and workflow updates

• Integrated core LinkedIn Hiring Assistant functionalities into a conversational chatbot interface, contributing to the project’s evolution from an executive-endorsed prototype to a full GA product.

• Led the end-to-end delivery of the email notification flow for LinkedIn Hiring Assistant, enhancing recruiter discovery and connection with top talents

### Software Engineer @ LinkedIn
Jan 2022 – Jan 2024
• Optimized small-business notifications, driving an additional $3M in annual revenue.  
• Designed and implemented an advanced search index, enhancing recruiter efficiency in candidate selection.  
• Developed a customizable Notification API, empowering recruiters to manage their preferences effectively.

### Software Engineer @ GSOBA
Jan 2022 – Present

### Software Engineer @ iHealth Labs
Jan 2020 – Jan 2022
Responsible for developing web and mobile applications facilitating remote patient monitoring by designing REST API and implementing features using React and Redux.

Remote Chronic Disease Patient Monitoring System
  - Refined the product specs by collecting requirements from clients and collaborating with product department
  - Designed REST APIs for the system backend, implemented extensible and reusable components using React and Ant Design
  - Improved development efficiency by coordinating cross-team development efforts
  - Designed manual testing plan for product functionalities and user experience
  - Enabled over 3000 patients to enroll in a new diabetes treatment program

Clinic Trial System
  - Developed clinic trial and demo system for potential healthcare provider clients
  - Designed data generating system to simulate patients’ data to facilitate trial and demo process
  - The trial system increased the number of partner clinics by 280% after release

### Software Engineer @ iHealth Labs
Jan 2020 – Jan 2020

### Owly: A Dispatch and Delivery Management Application @ LaiOffer Software Development Bootcamp
Jan 2021 – Jan 2021
• Designed and built a full-stack web application for users to place delivery orders and track order status
• Implemented backend storage using MySQL, REST APIs with Spring framework, frontend website with React and Antd, and deployed the service to AWS EC2

### Video+: A Personalized Twitch Resources Recommendation Engine @ LaiOffer Software Development Bootcamp
Jan 2021 – Jan 2021
• Designed and built a full-stack web application for users to search twitch resources (stream/video/clip) and get recommendations.
• Built a web page with user friendly experience using React and Ant Design
• Implemented RESTful APIs using Java servlets, retrieved real Twitch resources using Twitch API and stored data in MySQL.
• Explored multiple recommendation algorithms and extracted game information from Twitch resources to implement a Content-based algorithm.
• Deployed the service to AWS EC2 for better stability.

### Research Associate @ Beijing Forestry University
Jan 2018 – Jan 2018 | Beijing City, China
• Conducted data validation on Household Income Expenditure Survey data collected by National Bureau of Statistics from 5-year yearbook and reports.
• Designed and developed data quality evaluation procedures, which include distribution testing framework by following “Benford’s Law”, conducted correlation analysis, regression analysis and logical testing to identify abnormal data points by using Python.
• Published analysis reports to NSSFC with indicated segments containing larger data variances, being further assured by conducting due-diligence efforts to comply with the policy set by regulation department.


## Education
### Master of Arts - MA in Statistics
Columbia University

### Bachelor's degree in Statistics
Beijing Forestry University


## Contact & Social
- LinkedIn: https://linkedin.com/in/ziyi-liao09

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Source: https://flows.cv/ziyilucyliao
JSON Resume: https://flows.cv/ziyilucyliao/resume.json
Last updated: 2026-04-10