November 2024 – Present
AI Engineer
- Led system architecture for AI-native applications and production SaaS platforms end to end — from PRD through to deployment.
- Designed and implemented LLM-based solutions: RAG pipelines, conversational and autonomous agents, and intelligent document processing (OCR and document parsing).
- Built high-performance microservice backend architecture, integrating relational (PostgreSQL) and vector databases (pgvector, Qdrant) for low-latency semantic search.
- Managed containerisation and deployment with Docker to keep systems reliable, scalable and infrastructure-efficient.
- Translated business requirements and technical specifications into digital products ready for client use.