Key Expertise
Experience
6+ years
Timezone
CET (UTC +1)
Skills
AI / ML
Languages
Databases
Infrastructure
Frameworks
Integrations & Protocols
Overview
Built an AI-powered knowledge base for a large logistics company group (5 subsidiaries). The system syncs thousands of PDFs from Google Drive, indexes them in Vertex AI Search, and provides employees with conversational AI search - delivering answers with citations from corporate documentation.
Achievements
Manages 6 isolated datastores across 5 companies with 10 Drive source folders. Multi-turn conversations with context retention. Parallel async API calls reduce first-query latency significantly.
Responsibilities
- Architected multi-tenant RAG system with per-company datastores, buckets, and Drive folder mappings
- Implemented full document lifecycle: Drive → GCS → Discovery Engine with incremental sync and deletion cleanup
- Built Celery Beat periodic sync with retry logic and repository pattern
- Developed conversational search with persistent sessions and structured citation extraction
- Implemented multi-language detection (9 languages) to override Discovery Engine's auto-detection
Technologies Used
Key Expertise
Experience
6+ years
Timezone
CET (UTC +1)
Skills
AI / ML
Languages
Databases
Infrastructure
Frameworks
Integrations & Protocols
This project was delivered by
Dmytro B.
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