À propos de Mahmood
AI Engineer & Tech Lead with 10+ years of experience designing and deploying production-grade AI systems. I specialize in LLMs, Generative AI, and multi-agent architectures, with a strong focus on robustness, evaluation, and real-world impact.
I’m a former CTO and co-founder of a large-scale video platform that grew from zero to 10M+ users and ended in a successful exit. Since then, I’ve led AI initiatives across startups and enterprises, building conversational AI, recommender systems, and end-to-end GenAI platforms from MVP to scale.
Today, I help teams turn AI ideas into reliable, measurable, and production-ready systems, covering model design, evaluation strategy, system architecture, and iterative deployment.
🇫🇷 Disponible pour des missions en français ou en anglais. Habitué à travailler avec des équipes françaises et internationales.
Anglais
Bilingue ou natif
Français
Capacité professionnelle limitée
Accepte de travailler sur site
Paris (jusqu’à 10 km)
Expériences
- BondraFounder & Lead AI Engineer (LLMs, Generative AI, Agentic Systems)AGENCE & SSIIjanvier 2024 - Aujourd'hui (2 ans et 5 mois)Paris, France
- Designing and building an AI-powered B2B platform centered on LLM-driven and multi-agent systems for research, orchestration, and automation.
- Architecting agentic workflows combining LLMs, tools, and structured reasoning to support discovery, decision-making, and execution tasks.
- Defining and implementing evaluation frameworks to measure task completion, robustness, latency, and system reliability in real-world conditions.
- Leading end-to-end system design, from model selection and prompt orchestration to backend architecture and production deployment.
- Working closely with early users to iterate rapidly, validate use cases, and deliver production-ready AI features with measurable impact.
- Dubo App (Voice Inventory MVP)AI Engineerseptembre 2025 - octobre 2025 (1 mois)• • Designed a mobile MVP for voice-driven inventory management with offline speech transcription.• • Implemented domain-specific voice commands and a lightweight local data layer for low-connectivity environments.
- SMICRAB Research ProjectAI & Data Engineerfévrier 2025 - juillet 2025 (5 mois)• • Worked on environmental and climate data systems involving data access, harmonisation, and large-scale processing.• • Implemented statistical modelling workflows and user-facing research tools.
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Formations
- Doctor of Philosophy (Ph.D.), Artificial IntelligenceSharif University of Technology2021Doctor of Philosophy (Ph.D.), Artificial Intelligence
- Master of ScienceSharif University of Technology2011Master of Science (MSc), Artificial Intelligence