AI Engineer
eSpace
CurrentNov 2025 – Present
End-to-end AI solutions in the ATSO team, from multi-agent systems and RAG search to internal AI tooling and fine-tuned models.
- Developed an AI Quality Control assistant that automated 86% of the QC Life Cycle Testing Process, cutting its weight from 30% to 10%.
- Designed a parallel multi-agent document-generation system with output guardrails, enabling bilingual (Arabic/English) report generation 70% faster.
- Engineered enterprise-grade hybrid RAG search pipelines across 8,600+ documents, using pgvector, vector embeddings and re-ranking.
- Created an internal AI marketplace for our Agentic SDLC, where 6 tools and 2 MCP servers were deployed to give agents secure access to internal platforms.
- Implemented an AI-powered anomaly detection system that analyzes 18 months of timesheet data to flag suspicious activity in real time during logging.
- Benchmarked 14 token-optimization tools and 6 AI coding agents to shape the team's AI stack.
- Fine-tuned specialized LLMs, computer vision and video generation models with LoRA and QLoRA.
- Mentored 7 engineering interns through the end-to-end development and deployment of the Executive Hub project.