$ whoami
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$ ls My Career Path/
A timeline of my professional journey and the skills I've developed along the way.
Data Scientist & MLOps Engineer
Université de Lorraine • CDD
Advancing the convergence of AI and industrial systems through PhD research in European project #RemaNet: 'Optimization of Logistics and Energy Flows for Remanufacturing and Network Stability through AI/ML Integration.'
- •Developing advanced predictive maintenance algorithms for ColdSpray technology
- •Designing real-time failure detection systems via sensor data monitoring
- •Implementing end-to-end MLOps pipelines in Azure cloud environments
- •Creating robust ML models for anomaly detection through monitoring of data sent by sensors installed on the ColdSpray
- •Deploying scalable cloud infrastructure for continuous model training and deployment
- •Developing interactive dashboards for real-time ColdSpray data monitoring
- •Optimizing data pipelines for high-throughput sensor data processing
Achievements:
AI and Big Data Engineer
Liebert Industries • CDD
Digitalization of a Fish Oil and Powder Production Factory using IoT and Big Data. Contributing to digital transformation with robust dashboard for real-time data visualisation using industrial IoT (IO-Link) technology.
- •Data extraction: Retrieve and process data directly from industrial sensors for accurate and reliable insights
- •Custom Data Readers: Developed and implemented efficient readers to interpret sensor data
- •Communication Protocol Integration: Utilised the MQTT protocol to establish seamless communication between the IO-Link master and the Mosquitto broker
- •Data pre-processing pipeline: Designed a comprehensive pipeline to clean, normalize and pre-process data for analysis
Achievements:
Data Scientist & MLOps Engineer
DITEX (Digital Industry Tools EXperts) • Internship
The application of Artificial Intelligence for Risk Analysis in Cognitive Decision-Making Processes (M-RIAD project) and Optimisation of Logistics (Logistique Urbaine and OptichargeEV projects).
Key Projects:
M-RIAD Project
European project developing intelligent decision support system for assessing driving ability of people with neurodegenerative diseases. Engineered comprehensive data pipeline from simulator and medical source data analysis to visualization and generating final patient status report.
Logistique Urbaine
developed Power BI dashboard for Delivery flow trucks in Metz France. Created data pipeline from MongoDB to Power BI and integrated Power BI using Azure Active Directory service.
OptichargeEV
Created interfaces for mobile application using Flutter technology and Google Cloud services (Firebase).
- •M-RIAD project :
- •Engineered the M-RIAD system by building a comprehensive data pipeline, starting from simulator and medical source data analysis to visualization and generating a final patient status report
- •Developed and implemented an AI model for measuring conductor concentration levels
- •Deployed the model in a user-friendly platform to facilitate real-time monitoring and assessment
- •Developed a dashboard to visualize conductor concentration levels data alongside simulator data
- •Animated meetings with other companies as a tech lead, aligning efforts with the company's objectives
- •Logistique Urbaine project :
- •Merged data from Access database into MongoDB with necessary data preprocessing
- •developed Power BI dashboard based on defined KPIs
- •Created a data pipeline from MongoDB to Power BI
- •Created web dashboard and integrated Power BI using Azure Active Directory service
- •OptichargeEV project :
- •Created interfaces for mobile application using Flutter technology and Google Cloud services (Firebase)
Achievements:
Software Engineer & Data Scientist
FABLAB Universiapolis • Part-time
Led transformative healthcare and autonomous vehicle projects, spanning IoT integration, mobile development, and advanced AI research.
Key Projects:
LungLink
Respirator equipped with advanced platform for real-time data display in healthcare environments. Won 4th place in FABLATHON competition.
Autonomous Vehicle Research
Comprehensive software model for self-driving cars with traffic sign recognition, lane detection, behavioral cloning, and vehicle tracking using DL models.
- •Led a transformative project, LungLink, dedicated to the development of a respirator equipped with an advanced platform
- •Designed and implemented computer vision techniques to detect and CNN to recognize traffic signs in real-time
- •Utilized computer vision techniques to clone human driving behavior, enabling the vehicle to make driving decisions based on learned behavior patterns
- •Implemented computer vision techniques to created robust lane detection algorithms to identify and track lanes on the road
Achievements:
Backend Developer & Data Scientist
TargetCatcher Inc. • Internship
Dual role developing robust staffing platform and creating sophisticated AI algorithms for CV analysis and statistical data extraction.
- •Creation of a platform for Staffing and Recruiting using React.js, Node.js, Tailwind CSS, and various APIs to architect and develop a robust, user-friendly platform
- •Develop a sophisticated algorithm capable of accurately identifying valuable statistical data within CVs (Resumes) and also perform data extraction from them
Achievements:
Software Engineer
Logistiqa • Apprenticeship
Designed and created comprehensive platform for logistics management using innovative low-code development approaches.
- •Designing and creation of a platform for logistics management using Bubble.io and low-code development methodologies
Achievements:
Software Engineer
Université Internationale d'Agadir • Part-time
Head Of Information Technology Department at Association Universiapolis Créateurs - Cars and Aircrafts Manufacturing Club. Led innovative automotive projects with IoT integration and real-time data visualization.
Key Projects:
OPTIMAR CAR
Manual car with very low consumption. Created comprehensive dashboard for real-time data visualization of speed, consumption, and performance metrics using IoT sensors.
SOLIMAR CAR
Electric car powered by solar panels. Developed intuitive dashboard for electrical energy monitoring, battery status, and solar panel efficiency tracking.
- •Developed intuitive and user-friendly dashboard to present comprehensive visualizations of OPTIMAR car data in real-time
- •Created comprehensive documentation for users and developers to understand the dashboard's features and functionalities
Achievements:
$ ls education
A journey of academic excellence marked by distinctions and a focus on Artificial Intelligence
- -Microsoft AI Engineer
- -MLOps with Azure
Artificial Intelligence, Machine & Deep Learning, Computer Vision, Analysis & Data Exploration, IoT Programming and Data Processing, NLP…
Linear Algebra, Probability & Statistics, Numerical Analysis (matrices), Algorithmic, Programming…
$ ls Tech Stack/
Technologies I use for Full-Stack Development, AI/ML, Data Engineering, and MLOps solutions
Programming Languages
Web Development
Mobile Development
AI/ML Frameworks
Data Engineering
Cloud Platforms
Databases
MLOps & DevOps
Tools & Others
$ ls Featured Projects/
A comprehensive showcase of my professional work spanning AI/ML, data science, mobile development, and technical contributions across various domains and technologies.
TabulaScan: Streamlined Scanned Image Table Extraction and Excel Conversion
My python library that automates the process for table detection, recognition, and extraction from scanned images with Excel conversion capabilities.
SpamSieve: Email Classification Tool
Advanced email classification system using NLP and LSTM networks for efficient spam detection and email categorization.
PedestrianGuard AI
Cutting-edge computer vision system for urban safety, designed to classify images and detect pedestrians with high accuracy.
Hand Gestures Recognition System
Real-time hand gesture detection and recognition system for human-computer interaction using computer vision.
Coronavirus Pandemic Forecaster - Morocco
COVID-19 forecasting system for Morocco using time series analysis and LSTM networks for predictive modeling.
Titanic Machine Learning Competition
Kaggle competition solution using machine learning to predict Titanic passenger survival with top 100 ranking.
D-one: Diabetic Management Mobile App
Comprehensive mobile CGM app for diabetes management with glucose monitoring and insulin dose recommendations.
GlucForecast: Glucose Level Prediction
AI-powered predictive modeling system for glucose levels with hypo/hyperglycemia detection and insulin recommendations.
Self-Driving Cars Research Suite
Comprehensive autonomous vehicle software model with lane detection, behavioral cloning, and traffic sign recognition.
Automated Table Detection Research
Advanced algorithm for table detection and recognition from scanned images with diverse layout handling capabilities.
MonRed: MongoDB-MQTT Protocol Bridge
IoT protocol bridge connecting MongoDB with MQTT using Node-RED for seamless industrial communication.
AlexNet Feature Extraction & Transfer Learning
Implementation of AlexNet architecture for feature extraction and transfer learning in traffic sign recognition.
$ ls certifications/
Professional certifications showcasing expertise in AI, MLOps, and data technologies
Microsoft AI Engineer
Microsoft Certified: Azure AI Engineer Associate
Machine Learning in Production
MLOps by deep-learning.ai
Neo4j Certified Professional
Graph Database Expert
MongoDB Certified
NoSQL Database Professional
Advanced Python Programming
Python certified by kaggle
French Certified B2
Altissia certification in French
English Certified C2
The English Access Microscholarship Program By U.S. Department of State
$ ls My Achievements/
Celebrating achievements in innovation, technology, and competitive excellence across hackathons and international competitions.
Hack&Pitch Hackathon
AI project development and deployment in 48 hours
D-one Application
Hack&Pitch × Akkodis • 2024
Let's Challenge
International Innovation Competition (7th edition)
LungLink Respirator
AUF - Afrique du Nord • 2023
Shell Eco-marathon
Low consumption energy vehicle competition
Optimar Car
Shell plc • 2021
Get In Touch
Have a project in mind or want to discuss potential opportunities? Feel free to reach out!