# Heng Li

> Staff Software Engineer @ LinkedIn | Developing Gen-AI Products

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

With over a decade of experience in software engineering, I specialize in designing and scaling innovative solutions in generative AI. At LinkedIn, I lead the development of LinkedIn Premium’s Gen-AI products to empower premium members in building and maintaining healthy professional networks. My work reflects a strong commitment to advancing AI-driven technologies that align with LinkedIn’s mission to connect the world’s professionals. By integrating diverse technical expertise and a collaborative mindset, I contribute to creating impactful, user-centric platforms.  
At LinkedIn, I focus on cutting-edge technologies like LangGraph and LangChain to drive generative AI advancements. Our team leverages these tools to improve user engagement and redefine networking experiences for premium members. Prior to this, I contributed to ServiceNow’s customer support and community platforms, enhancing enterprise cloud solutions. My technical contributions consistently address complex challenges and deliver scalable, high-performing systems.

## Work Experience
### Staff Software Engineer @ LinkedIn
Jan 2019 – Present | Sunnyvale, California
Leading the development of LinkedIn Premium's Gen-AI products to help premium members cultivate and maintain a healthy network.

### Senior Software Engineer @ ServiceNow – The Enterprise Cloud Company
Jan 2015 – Jan 2019 | San Francisco Bay Area
Worked on developing the customer support platform and community platform.

### Software Engineer @ ZL Technologies
Jan 2014 – Jan 2015
- Worked on email archiving and e-discovery product backend
- Worked on developing full-text indexing components using Lucene and NoSQL on data volume in hundreds of millions of mails data, files, and IMs, etc.

### Program Manager Intern @ Microsoft
Jan 2012 – Jan 2012
Led a team of three to build an internal Visual Studio plugin leveraging Vector Search and Approximate Nearest Neighbor (ANN) algorithms, reducing bug-fix time by 30% and improving developer efficiency.

### Software Engineer @ GSBOA
Jan 2010 – Jan 2010


## Education
### Master of Science - MS in Electrical Engineering
Columbia University

### Bachelor of Science - BS in Electrical Engineering and Applied Mathematics Double Major
University of Wisconsin-Madison


## Contact & Social
- LinkedIn: https://linkedin.com/in/hengli1

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