Vyzantinos Repantis

Senior Staff Engineer (Documentation) · Meta Reality Labs · Greater Seattle Area (US)

Career arc

Vyzantinos Repantis is a Senior Staff Engineer (Documentation) and applied researcher at Meta Reality Labs, focusing on chance-corrected measurement of AI systems, retrieval evaluation, tool selection for AI agents, and knowledge-graph representations for LLMs. Previously, he held roles at Amazon (Alexa, Amazon Technical Academy, Appstore) and Magic Leap, contributing to technical architectures, SDK documentation, and learning resources. His career demonstrates a consistent theme of bringing rigorous statistical controls to modern LLM research and building research capabilities within non-research organizations.

Defining traits

Brings PhD-level statistical rigor (chance-corrected baselines, matched-control protocols, decoy calibration) to production AI systems; builds research capabilities inside engineering organizations rather than pure research labsSenior Staff Engineer whose primary craft is documentation—not as support work but as a technical specialty requiring deep system understanding, curriculum design, and developer enablement across multiple platformsDeep domain expertise in spatial computing, Mixed Reality (XR), and Virtual Reality spanning academic research (PhD in VR applications) through commercial platforms (Magic Leap, Meta Reality Labs)Specialized focus on evaluation methodology for AI systems—retrieval evaluation, LLM selectivity, tool selection for agents—emphasizing statistical controls over naive benchmarkingConsistently builds learning infrastructure: technical curriculum engineering, SDK documentation, training hundreds of engineers, coaching Olympiad medalists—teaching as a scalable technical systemThree Greek university degrees (Patras, Athens, Ioannina) before US tech career—suggests strong theoretical foundations and European CS education traditionMentored teams to publish research, holds patent as lead inventor—creates conditions for others' research output rather than purely individual contribution

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