Designed and built experimental UI for human-in-the-loop corrections to AI-created datasets that became a core feature

Identified patterns in OCR output graphs that yielded elegant answers to previously cost-prohibitive questions

Owned “backend of frontend” layer for MVISION Insights v1, federating on-prem (SQL-backed) and cloud-based (Parquet-backed) data sources and integrating with a React UI

Prototyped realtime ingestion/analytics engine with Kafka, Spark and Neo4j in R&D for MVISION XDR v1

Led design of graph data model for iteratively assembling alert and threat intelligence data from different sources and elegantly surfacing patterns indicative of notable stories playing out across them

Led v2 rearchitecture, then led presentation of resulting stack to McAfee executives and engineers to secure acquisition

Led “v2” rearchitecture (from server-rendered monolith to standalone webapp + REST API) and owned resulting stack

Interfaced directly with investors, key customers and CEO to design core features of consumer-facing app