Mohamed Aziz Sakiss
AI & Data Science Engineer dedicated to building scalable, production-ready intelligent systems. Expertise spans Advanced Computer Vision, Distributed Big Data, and Autonomous GenAI Agents.
Featured Engineering Projects
A showcase of production-ready systems, ranging from embedded edge AI to distributed big data pipelines.
Autonomous Driving Detection
Real-time perception system using YOLOv11m trained on BDD100K. Integrated SAHI to detect small distant objects with 84% Precision.
E-Commerce GenAI Agent
Autonomous agent bridging WooCommerce and Dolibarr ERP. Features 'Tool Use' capabilities to perform real-time SQL inventory checks.
Ergonomics Monitoring AI Platform
Actively engineering an end-to-end computer vision platform to monitor employee posture and workplace ergonomics. Architecture leverages MediaPipe for high-performance, real-time pose estimation.
Credit Card Fraud System
Processed 1 Million+ transactions using PySpark. Solved class imbalance (8.7% fraud) using custom class weighting, achieving AUC > 0.99.
Brain Tumor Classification
Ensemble Deep Learning architecture combining VGG16 & ResNet50. Implemented a custom Channel Attention Mechanism to detect Glioma/Meningioma.
Real-Time Fire Detection
Embedded system deployed on Raspberry Pi 4. Uses a custom CNN (96% accuracy) combined with HSV filtering to eliminate false positives.
Verified Credentials
Continuous learning and professional certifications.
Machine Learning Specialization
DeepLearning.AI
Generative AI: Prompt Engineering Basics
IBM
Machine Learning with Python
IBM
Foundations of Data Science
Building RAG Agents with LLMs
NVIDIA
Fundamentals of Deep Learning
NVIDIA
ÖSD Zertifikat A2 (German)
Österreichisches Sprachdiplom
Let's Work Together
Currently open to full-time AI Engineering and Data Science roles. Let's discuss how I can bring value to your engineering team.
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