About Yazid
AI Engineer specializing in the design, development, and deployment of intelligent software solutions. Experienced in building end-to-end AI systems, from data processing and model development to scalable APIs and production deployment.
Skilled in applying machine learning, deep learning, computer vision, natural language processing, and generative AI technologies to solve complex business challenges. Proven ability to deliver robust, scalable, and production-ready solutions across a wide range of industries and use cases.
Transforming innovative ideas into reliable products that create measurable business value.
English
Native or bilingual
French
Native or bilingual
Arabic
Native or bilingual
German
Basic
Can work on-site
Paris (up to 50km)
Experience
- RATP InfrastructuresAI Engineer – Computer VisionTRANSPORTATIONSeptember 2024 - September 2025 (1 year)Paris, FranceDesigned and deployed an automated discrepancy detection system between 2D PDF drawings and 3D BIM/IFC models, reducing manual verification efforts by 70% and improving quality assurance workflows.
- 2D–3D Consistency Validation: Developed a synthetic view generation pipeline to render 2D projections from IFC models and compare them against engineering drawings using heatmap-based analysis, enabling automated detection of geometric inconsistencies.
- BIM Data Processing: Built scalable pipelines for extracting, cleaning, and standardizing IFC metadata, enabling large-scale automated classification and validation of BIM objects.
- 3D Geometry Analytics: Converted BIM models into analyzable point clouds to support geometric analysis, quality control, and downstream machine learning workflows.
- Interactive BIM Visualization: Delivered interactive visualization tools for discrepancy analysis and reporting, providing engineering teams with actionable insights into model-to-drawing deviations and data quality issues.
- Adria Business & TechnologyData ScientistDIGITAL AND ITSeptember 2022 - August 2024 (1 year and 11 months)Casablanca, MoroccoDesigned and deployed AI-powered solutions for mission-critical banking applicationsin highly regulated environments with strict requirements for compliance, security, and customer experience.
- RAG Conversational Agent: Designed and developed an LLM-powered assistant leveraging semantic embeddings and vector databases for enterprise knowledge retrieval. Reduced customer support ticket volume by 40% through automated query resolution. Owned the full lifecycle from architecture design to production deployment.
- IDocOCR: Architected and developed a multi-document OCR engine based on CNN and CRNN architectures, supporting over 20 identity document types. Achieved an average accuracy of 95% and deployed the solution as a containerized, scalable API microservice.
- e-KYC Platform: Trained and deployed a Siamese neural network for selfie-based identity verification. Delivered the solution as a scalable microservice API integrated into digital customer onboarding and identity validation workflows.
- Bank Check Processing: Built an end-to-end pipeline for handwritten field detection and recognition using YOLO and Vision Transformers (ViT). Integrated the system into fraud detection and banking operations workflows to automate check processing and verification.
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Education
- Master's Degree in Signal and Image ProcessingUniversity of Burgundy2025Master's Degree in Signal and Image Processing
- Master's Degree in Data Exploration and Decision Support SystemsSorbonne Paris XIII University2022Master's Degree in Data Exploration and Decision Support Systems