Vasilis Lakafosis is a Principal Software Engineer with a decade-long track record building hyperscale data, network, and infrastructure systems at Meta, Uber, and Cisco. He architects petabyte-scale ingestion pipelines and unified data schemas that eliminated hundreds of engineering-years of duplication and became foundational to Meta’s global privacy and AI compliance programs. Known for rallying 20+ product and infra teams, he combines principal-level systems thinking with hands-on operator instincts—authoring Meta’s influential Data Understanding engineering post and mentoring senior engineers across domains. His prior work at Uber produced a patented data center automation that cut rack onboarding from hours to minutes and an open-source distributed network monitor adopted by hyperscale operators. Based in Los Angeles, he blends deep academic training (PhD work at Georgia Tech) with a pragmatic bias for shipping high-impact, organization-wide platforms.
9 years of coding experience
13 years of employment as a software developer
Ph.D., Electrical & Computer Engineering | Minor: Computer Science, Ph.D., Electrical & Computer Engineering | Minor: Computer Science at Georgia Institute of Technology
University of Tokyo
Diploma (5 years), Electrical & Computer Engineering, Diploma (5 years), Electrical & Computer Engineering at National Technical University of Athens
Greek, English, french (d.e.l.f. 1er et 2nd degré), german (zentrale mittelstufenprüfung and zertifikat deutsch)
An always-on framework that performs end-to-end functional network testing for reachability, latency, and packet loss
Contributions:21 commits, 23 PRs, 40 pushes in 2 years 6 months
bpfreachabilityend-to-endnetwork-toolstesting
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Vasilis Lakafosis - Principal Software Engineer - E8 at Meta