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Emanuel Covelli✓ Verified

AI Product Builder | AI-native Full-Stack Engineer · 20 April 2026

Shipped an on-prem AI ticket intelligence system for search, duplicates, and clustering

Problem solved

Support teams needed faster retrieval of similar tickets and better clustering of operational issues without sending sensitive data to external AI services.

Outcome

Delivered semantic search, duplicate detection, resilient Oracle ingest, persisted Qdrant state, and Kubernetes deployment support for a usable internal AI product.

Built with

Claude Code, OpenAI Codex, Spring Boot, Kotlin, Qdrant, TEI, Docker, Kubernetes

Time taken

February-March 2026

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