Mohamed Aziz Sakiss
Open to Opportunities in Europe & Tunisia

Hello, I am Mohamed Aziz Sakiss

AI & Data Science Engineer dedicated to building scalable, production-ready intelligent systems. Expertise spans Advanced Computer Vision, Distributed Big Data Architecture, and Autonomous GenAI Agents.

Featured Engineering Projects

Computer Vision

Autonomous Driving Detection

Real-time perception system using YOLOv11m trained on BDD100K. Integrated SAHI (Slicing Aided Hyper Inference) to detect small distant objects with 84% Precision.

YOLOv11 SAHI PyTorch
Big Data & Security

Credit Card Fraud System

Processed 1 Million+ transactions using PySpark. Solved class imbalance (8.7% fraud) using custom class weighting, achieving AUC > 0.99.

PySpark MLlib Big Data
Generative AI

E-Commerce GenAI Agent

Autonomous agent bridging WooCommerce and Dolibarr ERP. Features "Tool Use" capabilities to perform real-time SQL inventory checks during customer conversations.

LLMs LangChain ERP Integration
Medical AI

Brain Tumor Classification

Ensemble Deep Learning architecture combining VGG16 & ResNet50. Implemented a custom Channel Attention Mechanism to detect Glioma/Meningioma tumors with high accuracy.

TensorFlow Attention Mechanism Medical Imaging
IoT & Embedded AI

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 in low-light environments.

Edge AI Raspberry Pi OpenCV
NLP & Big Data

Scalable Spam Detection

End-to-end pipeline using PySpark. Implements TF-IDF feature extraction and Naive Bayes classification to handle massive text datasets efficiently.

NLP PySpark TF-IDF