Wahab H.

Most AI systems work in the demo and fail in production. I build the kind that don't. My RAG system for one client was evaluated on 150 real business queries using RAGAS: 85% accuracy, under 5% hallucination, a 50% efficiency gain, now running in daily production. On a separate engagement, I built Renault Technocentre's supply-chain data platform (via SEGULA Technologies): 25,070 real orders processed through 6 ML models at 97% accuracy. What I deliver for your infrastructure: - Production RAG Systems: Deployment of hybrid agents (LangGraph + FAISS) with measured 85% accuracy and <5% hallucination rate validated on real business queries. - Autonomous Data Pipelines: 10-minute autonomous processing cycles orchestrated by Airflow, supported by 106 automated tests to ensure zero downtime. - MLOps & Security: Certified in Google Cybersecurity (99.40%) and AWS Cloud, ensuring your data integrations and API workflows meet enterprise-grade security standards. Why trust me with your roadmap? As a National Finalist of the RamadanIA Hackathon 2026 and winner of the FEECRA 2025 Best Entrepreneurial Potential Award, I specialize in bridging the gap between technical complexity and measurable business ROI. Who should hire me? Startups and demanding companies that require high-reliability Data/AI infrastructure (ETL, RAG, MLOps) where precision is a production requirement, not just a goal. Let’s discuss your project. I am available for a 10-minute technical audit.