Lee Gross
Software Engineering Lead at Meta
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolLee Gross is a Software Engineering Lead with 11 years of experience building privacy-forward, scalable systems at Meta, where he currently drives a program-level effort to rebuild the ads stack using Privacy Enhancing Technologies like MPC. He has a track record of shipping zero-to-one initiatives across AR/VR (avatars, 3D interactions, identity), novel ML solutions for developer tooling and release pipelines, and backend infra that bridges data processing and secure computation. Comfortable toggling between hands-on engineering, tech lead and management roles, he brings clarity and alignment across teams of 60+ engineers while still contributing to core code and CI/CD improvements. His open-source work on Facebook Private Computation Solutions highlights practical expertise in secure multi-party computation, file-streaming and resilient build pipelines. An MIT-trained E E C S and CS/Engineering master’s alumnus based in Seattle, he pairs deep systems thinking with product-focused delivery.
11 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Electrical Engineering and Computer Science, Class of 2015, Bachelor's degree, Electrical Engineering and Computer Science, Class of 2015 at Massachusetts Institute of Technology
Spanish, French, Hebrew, English
Github Skills (11)
filesystem10
c-language10
cprogramming-language10
back-end-development10
data-processing10
cicd9
python9
docker8
unit-testing8
dockers8
aws7
Programming languages (2)
Github contributions (5)
facebookresearch/fbpcs
Sep 2021 - Oct 2022
FBPCS (Facebook Private Computation Solutions) leverages secure multi-party computation (MPC) to output aggregated data without making unencrypted, readable data available to the other party or any third parties. Facebook provides impression & opportunity data, and the advertiser provides conversion / outcome data.
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:45 commits, 43 PRs, 1 push in 1 year
Contributions summary:Lee primarily contributed to the backend infrastructure and data processing components of the Facebook Private Computation Solutions (FBPCS) project. Their work included implementing file streaming logic with a BufferedReader class, adding validations to user inputs, and automatically creating directories for file writes. They also made changes to the build process and CI/CD pipeline by refactoring scripts and adding a new stage flow for testing. Further, they implemented a local test stage flow and made updates to the data processing and combiner services.
outcomeadvertisermulti-party-computationmulti-partycomputation
leegross/fbpcs-1
Sep 2021 - Sep 2022
FBPCS (Facebook Private Computation Solutions) leverages secure multi-party computation (MPC) to output aggregated data without making unencrypted, readable data available to the other party or any third parties. Facebook provides impression & opportunity data, and the advertiser provides conversion / outcome data. Both parties have dedicated cloud computing instances living on separate Virtual Private Clouds (VPCs) that are connected to allow network communication. The FBPMP products that have been implemented are Private Lift and Private Attribution. It’s expected that more products will be implemented and added to the Private Measurement suite.
Contributions:32 pushes, 37 branches in 11 months
outcomeadvertiserconnectedmeasurementmulti-party-computation
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