# Brian Truong

> Principal Engineer @ Meta | Monetization, Data Privacy

Location: Menlo Park, California, United States
Profile: https://flows.cv/briantruong

At Meta, my focus is on developing groundbreaking monetization products that align with a complex legal and privacy landscape. With a deep understanding of systems infrastructure and data privacy, I spearhead projects that handle data effectively and scale solutions for Meta's evolving monetization models.

Collaborating across multiple teams, we have enabled the next generation of billion-dollar products, ensuring they are privacy-safe and fully compliant with regulatory standards. My expertise in systems design and project management has been crucial in navigating these challenges and driving Meta's success in monetization technology.

## Work Experience
### Principal Engineer @ Meta
Jan 2015 – Present | Menlo Park, California, United States
With an wide experience at the intersection of Monetization, Systems Infra, Data/AI and Privacy/Law, I solve some of hardest technical problems for Meta Monetization, developing new end-to-end solutions to enable data to be generated, ingested, processed and used in the most effective and scalable way for Meta's Monetization Models to power Meta's next billion-dollar Monetization products in a privacy-safe way, especially in an increasingly fragmented legal & regulatory landscape.

### Graduate Student @ Stanford University
Jan 2013 – Jan 2015 | Stanford, California, United States
I worked as a research assistant at Stanford University Computer Science Department. My research topic was on graph mining, especially on how to develop and extract trend and key characteristics of different types of large-scale graphs.

### Software Engineer @ Nanyang Technological University
Jan 2012 – Jan 2013
Led a team of four researchers to develop a maritime-focused news search engine and news aggregator for Singapore Ministry of Defense. The developed system fused various data mining and information retrieval techniques such as near-duplicate detection, HTML content extraction, topic modeling on short texts, named entity recognition to deliver reliability-ranked, real-time and maritime-focused news articles.

### Research Assistant @ Nanyang Technological University
Jan 2010 – Jan 2013
Developed novel and efficient algorithms to query massive graph databases and a prototype system on Java to experiment the efficiency of the new algorithms on social networks and bio-chemical graphs with millions of nodes

Collected millions of socially tagged images from Flickr and developed algorithms to extract and leverage these tags to improve both accuracy and usability of image search.

Developed novel and highly efficient and effective algorithms to extract information from XML databases using keyword search, especially when XML database contains irregular and evolutionary data.


## Education
### Master of Science (MS) in Computer Science
Stanford University

### Bachelor of Engineering (B.Eng.) in Computer Science
Nanyang Technological University Singapore


## Contact & Social
- LinkedIn: https://linkedin.com/in/brian-truong-64b60010

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