À propos de Mohamed
I help companies leverage their data through tailored AI solutions. Whether you need an intelligent agent to automate part of your workflow or a machine learning model to predict key business outcomes, I can design, train, and deploy it efficiently.
My added value lies in combining strong technical expertise with a deep understanding of real-world business needs — ensuring each model is both accurate and usable in production.
I usually handle projects involving:
- Creation of AI chatbots or assistants powered by OpenAI and retrieval-augmented generation (RAG)
- Predictive modeling and time series forecasting
- Natural language processing and sentiment analysis
Arabe
Bilingue ou natif
Français
Capacité professionnelle complète
Anglais
Capacité professionnelle complète
Allemand
Notions
En télétravail uniquement
Travaille majoritairement à distance
Expériences
- DeepkiData scientistIMMOBILIERjanvier 2026 - Aujourd'hui (5 mois)Paris, France
- Designed and developed a customizable AI agent platform for internal use cases, enabling rapid deployment of task-specific agents across teams (leveraging tools such as Langfuse and Strands).
- Built a high-performance Retrieval-Augmented Generation (RAG) pipeline to extract structured energy-related data from unstructured and noisy audit PDFs, significantly improving data accessibility and processing efficiency.
- Implemented end-to-end observability and evaluation pipelines using Langfuse, enabling monitoring, debugging, and performance tracking of all agentic AI applications in production.
- Collaborated with cross-functional teams to integrate AI agents into real business workflows, ensuring scalability, reliability, and measurable impact.
- Auditoo (Station F)AI EngineerIMMOBILIERjuillet 2025 - décembre 2025 (5 mois)Paris, France
- Designed and evaluated LLM-based AI agents using Pydantic-AI for robust data validation, structured output generation, and systematic performance benchmarking.
- Improved agent precision to 80–100% on internal evaluation datasets, significantly increasing the reliability of structured data extraction for energy audit reports (DPE).
- Contributed to end-to-end product development, including a Python backend, Flask API services, and a React frontend, ensuring seamless integration of AI components into the application.
- Worked closely with the founding team to develop an AI-powered web application that transforms speech-based descriptions of housing characteristics into structured and compliant DPE reports.
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Formations
- Master of Engineering In Artificial IntelligenceCentraleSupélecArtificial intelligence
- Exchange Semester in Computer ScienceFaculdade de Engenharia da Universidade do Porto (FEUP)2025Exchange Semester in Computer Science