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dridi_ahmed

Ahmed Dridi

@dridi_ahmed

Full Stack AI Developer

Tunesien
Englisch
Einige Informationen werden in englischer Sprache angezeigt.
Über mich
ML Engineer from Tunis | ESPRIT student | 4 months professional experience Building production AI: computer vision, deep learning, deployment. Prevented €45K+ fraud | 87% faster assessments | 95% accuracy YOLO | TensorFlow | PyTorch | FastAPI | Docker | AWS Production-ready code + documentation guaranteed. Certified: Deep Learning (NVIDIA), NLP, AWS AI.... Mehr lesen

Kompetenzen

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dridi_ahmed
Ahmed Dridi
offline • 
Durchschnittliche Antwortzeit: 1 Stunde

Meine Dienstleistungen

KI-Integrationen
I will computer vision ml models with yolo object detection

Portfolio

Arbeitserfahrung

StartUp_Names

AI & Computer Vision Engineer

StartUp Names • Vollzeit

Jan 2026 - Apr 20263 mos

At ITGATE, I developed ShopVision, an end-to-end computer vision system for real-time visual product detection with integrated conversational AI. Trained YOLOv8 object detection model on 1,000+ curated product images achieving 68% mAP on 4-category product classification. Optimized inference pipeline from ~130ms per frame on CPU with 40% latency reduction through postprocessing optimization and model quantization. Implemented temporal filtering (multi-frame validation over 10-frame window) reducing false positives by 65% in real-world dynamic conditions. Architected PostgreSQL schema via Supabase for product metadata, detection logs, and search analytics with sub-200ms query response time. Shipped full-stack Streamlit application with product search UI, cart simulation, and real-time analytics dashboard deployed to production. Skills: Computer Vision, YOLO, Object Detection, TensorFlow, Streamlit, PostgreSQL, FastAPI, Docker