Moroccan AI/ML Engineer & Full-Stack Developer | Learning and building every day
MSc student passionate about Machine Learning, LLMs, and real-world AI. Currently working on personal projects in MLOps, multi-agent systems, and fine-tuning open-source models.

</>Passionate AI researcher and software engineer with expertise in machine learning, distributed systems, and sustainable technology solutions

As a highly motivated AI Master's student specializing in Artificial Intelligence and Distributed Systems, I bring a unique combination of MLOps pipelines, and scalable system architecture.
Currently based in Casablanca, Morocco, I'm actively researching advanced AI applications while focusing on green technology and sustainable AI solutions.
Cutting-edge ML/DL solutions
High-performance AI systems
Strong communication skills
Quick tech adaptation
Production-ready AI/ML solutions with measurable business impact and technical excellence

Revolutionary multi-agent RAG system automating structured MRI radiology reports from voice/text input
5 specialized agents (Classification → Extraction → Structuring → Validation → Generation)
Local DeepSeek-R1 1.5B + ClinicalBERT for privacy-first processing
92% speech recognition • 95% semantic validation • <30s generation time
GDPR/HIPAA compliant • Full audit trail • Deployed in clinical research

Fine-tuned LLaMA-3.2-1B-Instruct into a high-performance code assistant using QLoRA + Unsloth
Achieved 22.0% pass@1 on HumanEval (+57% over base)
Trained in 45 minutes on free Google Colab T4 GPU
45.1M trainable params (3.52%) • 4-bit NF4 quantization • 8k Python tasks
Outperforms 7B models in resource-constrained environments

Production-ready sales forecasting pipeline powered by Astro (Apache Airflow)
Fully orchestrated ETL → training → inference → monitoring
Dynamic task mapping • MLflow tracking • MinIO artifact storage
Dockerized • CI/CD ready • Scalable across cloud or on-prem
Built for enterprise: zero downtime deployments, audit trails, alerts

Transforming education at ENSET Mohammedia with an intelligent RAG-powered tutor
Powered by LLaMA 3.2 + PostgreSQL pgvector for curriculum-aligned answers
Built with Java Spring Boot + Spring AI • Docker • JWT auth
Real-time, context-aware responses from verified course materials
Live deployment • 500+ active students • Admin analytics dashboard

Full-stack educational data science project analyzing 480 student records
Random Forest model predicts performance with 92% accuracy
Identified 24% at-risk students using engagement, absence, parental factors
Interactive Power BI dashboard with DAX, filters, and early warning system
Delivered actionable insights to ENSET faculty for targeted interventions

99.94% accuracy with PCA + GridSearchCV



Formal mathematical framework for autonomous AI agents in distributed environments. Bridges decision theory, reinforcement learning, and distributed systems with rigorous analysis of agent behavior, convergence properties, and performance guarantees.
Comprehensive exploration of Transformer architecture using an intuitive library research team analogy. Covers mathematical foundations, self-attention mechanism, positional encoding, and multi-head attention with applications in NLP and computer vision.
Technical whitepaper on optimizing AI models for edge devices through quantization. Addresses deployment challenges between model complexity and hardware constraints with practical strategies for mobile, IoT, and robotics applications.
Technical whitepaper exploring Deep Q-Networks (DQN) and Double DQN agents. Covers Q-learning foundations, experience replay, target networks, overestimation bias reduction, Python implementations, performance comparisons, and applications in gaming, robotics, and autonomous systems.

Climate solutions platform for African environmental initiatives
Microservices architecture with Spring Cloud & Netflix Eureka
Enterprise security: JWT authentication & role-based access
Modern frontend: React.js with Material UI components
Academic recognition: Praised for innovation & technical excellence

Full-stack banking platform for account management, transactions, and analytics
Supports current/savings accounts, debit/credit/transfer operations
Enterprise-grade security via Spring Security + JWT • Role-based access
Interactive Angular dashboard with Chart.js • Mobile-responsive UI
MySQL backend with JPA/Hibernate • Swagger docs • Production-ready

Private blockchain for organ donation traceability & transplant coordination
Advanced security: RSA-2048 authentication & SHA-256 hashing
Adaptive PoW consensus: Priority-based mining for critical cases
Smart matching engine: Compatibility scoring (blood, HLA, urgency)
Real-time dashboard: Flask web interface with Tailwind CSS
Production-ready AI/ML solutions with measurable business impact and technical excellence

Revolutionary multi-agent RAG system automating structured MRI radiology reports from voice/text input
5 specialized agents (Classification → Extraction → Structuring → Validation → Generation)
Local DeepSeek-R1 1.5B + ClinicalBERT for privacy-first processing
92% speech recognition • 95% semantic validation • <30s generation time
GDPR/HIPAA compliant • Full audit trail • Deployed in clinical research

Fine-tuned LLaMA-3.2-1B-Instruct into a high-performance code assistant using QLoRA + Unsloth
Achieved 22.0% pass@1 on HumanEval (+57% over base)
Trained in 45 minutes on free Google Colab T4 GPU
45.1M trainable params (3.52%) • 4-bit NF4 quantization • 8k Python tasks
Outperforms 7B models in resource-constrained environments

Production-ready sales forecasting pipeline powered by Astro (Apache Airflow)
Fully orchestrated ETL → training → inference → monitoring
Dynamic task mapping • MLflow tracking • MinIO artifact storage
Dockerized • CI/CD ready • Scalable across cloud or on-prem
Built for enterprise: zero downtime deployments, audit trails, alerts

Transforming education at ENSET Mohammedia with an intelligent RAG-powered tutor
Powered by LLaMA 3.2 + PostgreSQL pgvector for curriculum-aligned answers
Built with Java Spring Boot + Spring AI • Docker • JWT auth
Real-time, context-aware responses from verified course materials
Live deployment • 500+ active students • Admin analytics dashboard

Full-stack educational data science project analyzing 480 student records
Random Forest model predicts performance with 92% accuracy
Identified 24% at-risk students using engagement, absence, parental factors
Interactive Power BI dashboard with DAX, filters, and early warning system
Delivered actionable insights to ENSET faculty for targeted interventions

Comprehensive KNN implementation on the Agaricus-Lepiota dataset with feature engineering, PCA visualization, and hyperparameter tuning — achieving 99.94% accuracy using K=1 + Manhattan distance.

Advanced SVM with RBF kernel on raw CIFAR-10 pixels — 42.8% accuracy without CNNs. Full support vector analysis, PCA decision boundaries, and kernel comparison.
More supervised learning implementations including regression analysis, clustering algorithms, and advanced feature engineering techniques.

Comprehensive RL framework using Open AI Gymnasium to train agents that navigate a 5×5 grid, pick up passengers, and optimize delivery routes—achieving reward improvement from -800 to +7.28 in 500 episodes.

Implemented both standard DQN and Double DQN agents using TensorFlow/Keras to navigate a 4×4 grid world, avoiding obstacles and reaching goal positions through experience replay and target network optimization.
Formal mathematical framework for autonomous AI agents in distributed environments. Bridges decision theory, reinforcement learning, and distributed systems with rigorous analysis of agent behavior, convergence properties, and performance guarantees.
Comprehensive exploration of Transformer architecture using an intuitive library research team analogy. Covers mathematical foundations, self-attention mechanism, positional encoding, and multi-head attention with applications in NLP and computer vision.
Technical whitepaper on optimizing AI models for edge devices through quantization. Addresses deployment challenges between model complexity and hardware constraints with practical strategies for mobile, IoT, and robotics applications.
Technical whitepaper exploring Deep Q-Networks (DQN) and Double DQN agents. Covers Q-learning foundations, experience replay, target networks, overestimation bias reduction, Python implementations, performance comparisons, and applications in gaming, robotics, and autonomous systems.

🌍 Climate solutions platform for African environmental initiatives
🏗️ Microservices architecture with Spring Cloud & Netflix Eureka
🔐 Enterprise security: JWT authentication & role-based access
⚛️ Modern frontend: React.js with Material UI components
🎯 Academic recognition: Praised for innovation & technical excellence

Comprehensive full-stack banking platform for account management, transactions, and analytics
Supports current/savings accounts, debit/credit/transfer operations with real-time updates
Enterprise-grade security via Spring Security + JWT • Role-based access • Audit trails
Interactive Angular dashboard with Chart.js visualizations • Mobile-responsive UI
MySQL backend with JPA/Hibernate • Swagger docs • Production-ready with CI/CD

🏥 Private blockchain for organ donation traceability & transplant coordination
🔐 Advanced security: RSA-2048 authentication & SHA-256 hashing
⚡ Adaptive PoW consensus: Priority-based mining for critical cases
🎯 Smart matching engine: Compatibility scoring (blood, HLA, urgency)
📊 Real-time dashboard: Flask web interface with Tailwind CSS
Hands-on experience in AI/ML research, data science, and full-stack development
WorldQuant University Applied Data Science Lab
Hands-on data science experience with real-world datasets and industry-standard tools. Executing end-to-end ML projects, API integration, and advanced statistical analysis. Key focus: Production-ready data pipelines and business intelligence solutions.
ENSET Mohammedia – University Hassan II
Sep 2024 – Jun 2026 (Ongoing)
Research-Grade AI & Distributed Computing:
FS Ben M’Sik – Specialty: Databases & Information Systems
Sep 2021 – Jun 2024 • Magna Cum Laude
Full-Stack Systems & Math Engineering:
Ibn Mandour High School, Casablanca
Sep 2020 – Jun 2021
Morocco’s Elite Engineering-Prep Track:
Option B = Morocco’s STEM track for future engineers (vs Option A = Medicine)
Comprehensive technical stack spanning AI/ML, cloud computing, and full-stack development
Industry-recognized certifications spanning AI/ML, Cloud Computing, Data Management, and Professional Development

Comprehensive 4-course specialization covering regression, classification, clustering, and information retrieval. Gained hands-on experience building intelligent applications using real-world datasets and modern ML frameworks.

Completed practical simulation involving data extraction, analysis, and development of an AI-powered financial chatbot. Demonstrated proficiency in applying generative AI to real-world business challenges.

Foundational certification covering cloud service models (IaaS, PaaS, SaaS), deployment models, and core cloud concepts. Understanding of cloud architecture and enterprise cloud solutions.

Blockchain certification (LFS170) covering distributed ledger technology, use cases, and practical implementations. Understanding of blockchain architecture and its applications across industries.

Enterprise-level certification in database systems, data warehousing, and analysis techniques. Expertise in managing large-scale data infrastructure and implementing data governance strategies.

24-hour certification in sustainable AI practices and green digital technologies. Focused on implementing eco-friendly technology solutions and reducing environmental impact through digital transformation.

Certification in strategic thinking frameworks and systematic problem-solving methodologies. Acquired skills in critical analysis, decision-making, and innovative solution development.

Professional training in effective communication, presentation skills, and audience engagement. Developed confidence in delivering impactful presentations and leading technical discussions.
Multilingual fluency enabling global collaboration and cross-cultural leadership
Native speaker with professional writing and presentation skills
Fluent in technical communication and international collaboration
Native speaker enabling MENA region project leadership
Professional working proficiency for business communication
Basic conversational skills for international tech collaboration
Unique fusion of **technical mastery**, **research innovation**, and **global vision** — delivering impact that lasts.
I don’t just implement — I **invent**. My multi-agent healthcare AI achieved **95% accuracy** by orchestrating specialized models, proving I think beyond boundaries to deliver **breakthrough results**.
Fluent in **5 languages**, I bridge cultures and markets. This enables me to lead **international teams**, understand **diverse user needs**, and communicate complex AI concepts **across borders**.
**40% faster** medical reporting. **22% better** code generation. **Production-grade MLOps**. My work doesn’t just run — it **transforms businesses**.
Leadership, community impact, and professional growth — **beyond the classroom**
Active contributor with **Pull Shark** and **Quickdraw** badges. Mentoring junior devs and driving community AI/ML projects.
Regular speaker at university seminars and conferences — sharing **AI research**, **sustainable tech**, and **real-world impact**.
Leading **Green AI** initiatives to reduce environmental impact of AI systems and promote **responsible tech development**.
Ready to **redefine AI/ML innovation**? Let’s explore how my expertise can **elevate your team**.
I'm actively seeking AI/ML and Data Science internship opportunities. Open to innovative projects, research collaborations, and contributing to your team's technical goals.
Casablanca, Morocco • Open to Remote
AI/ML & Data Science internships
Ready to contribute to innovative projects
Open to remote & international roles
Available for interviews & assessments