Dan Bunnell
Software Engineer at Meta
Grand Rapids, Michigan, United States
Summary
👤
Senior🎓
Top SchoolDan Bunnell is a software engineer with 8 years of experience building privacy, security, and infrastructure solutions at scale, currently contributing to privacy-enhancing technology at Meta after a multi-year tenure at Microsoft where he led high-impact cloud and security projects. He combines deep systems and DevOps expertise—demonstrated by contributions to Facebook Private Computation Solutions (FBPCS) improving cross-platform Docker builds and VPC flow logging—with product-minded engineering that reduces costs and operational risk. As a founder and former CTO, he has hands-on experience launching SaaS platforms and growing remote engineering teams, pairing startup agility with enterprise rigor. He holds an MS in Computer Science from the University of Washington and brings a broad intellectual curiosity spanning finance, history, and travel that informs pragmatic, scalable designs.
8 years of coding experience
12 years of employment as a software developer
Master of Science - MS Computer Science and Engineering, Master of Science - MS Computer Science and Engineering at University of WashingtonAmos Alonzo Stagg H.S.Bachelor of Science - BS Computer Engineering, Bachelor of Science - BS Computer Engineering at Grand Valley State University
English, Spanish, German
Github Skills (13)
sh10
terraformer10
infrastructure-as-code10
script10
docker10
shell10
aws10
dockers10
scripting10
terraform10
cicd10
build-automation10
security9
Programming languages (4)
Github contributions (5)
facebookresearch/fbpcs
Aug 2022 - Jan 2023
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:
DevOps Engineer & Security Engineer
DevOps Engineer & Security EngineerContributions:13 commits, 33 PRs, 7 pushes in 5 months
Contributions summary:Dan primarily focused on enhancing the build and deployment infrastructure for the FBPCS project, particularly around Docker images. They implemented features to target specific platforms during image builds, ensuring consistent builds across different environments using the `--platform` argument. Furthermore, the user added support for VPC Flow logging in PCEs, incorporating parameters for enabling logging and configuring the S3 bucket for log storage, thereby contributing to the project's security monitoring capabilities. They also made adjustments to the deployment scripts.
outcomeadvertisermulti-party-computationmulti-partycomputation
danbunnell/fbpcs
Aug 2022 - Jan 2023
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:5 pushes, 14 branches in 5 months
outcomeadvertiserconnectedmeasurementmulti-party-computation
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