Second-year Software & Intelligent Systems Engineering student specializing in Applied Machine Learning and DevOps. Experienced in deploying end-to-end AI systems and CI/CD pipelines. Seeking a summer 2026 internship to contribute to scalable, intelligent applications and production-grade ML infrastructure.
Second-year Software & Intelligent Systems Engineering student specializing in Applied Machine Learning and DevOps. Experienced in deploying end-to-end AI systems and CI/CD pipelines. Seeking a summer 2026 internship to contribute to scalable, intelligent applications and production-grade ML infrastructure.
“Building production-grade AI systems and CI/CD pipelines with a researcher's rigor.”
Core highlights
Thrives in cross-functional teams with clear communication and shared ownership of goals.
Breaks complex ML and DevOps challenges into tractable, deliverable milestones.
Comfortable switching between Unity prototypes, Kubernetes clusters, and AI dashboards.
Explains technical decisions to stakeholders through workshops, demos, and documentation.
Dinomite Studios
Summer 2025
Tangier, Morocco
Implemented adaptive learning mechanics in Unity using TARL methodology, improving student engagement and retention in prototype tests
Contributed to the TARL ecosystem (Parent App, Teacher Dashboard, Final Test Platform) as part of a 5-person Agile team
Abdelmalek Essaadi University - Faculty of Sciences & Technology
End-to-end ML pipeline for smart e-commerce analytics: multi-agent web scraping, taxonomy capture, association rule mining, customer segmentation, and LLM-powered conversational insights via MCP. Orchestrated with Kubeflow Pipelines v2 on Minikube.
Cloud-native distributed medical system enabling multiple hospitals to collaboratively train diagnostic models without sharing raw patient data. Uses Federated Averaging, differential privacy, and secure message brokering with mathematically bounded privacy guarantees.
Transforms academic PDFs into interactive knowledge engines using Gemini 3. Decomposes papers into logical components (claims, equations) for deep interrogation and stress-testing. Built for the Google DeepMind Gemini 3 Hackathon.
Proposed a dual-network consolidation framework for continual learning. Demonstrated that consolidation methodology outperforms architectural complexity (+1.2pp). Published on arXiv with 30-seed evaluation and statistical rigor.
Developed a Flask-based AI platform integrating RAG architecture with ChromaDB for intelligent document question-answering. Features LLM integration, vector embeddings, and semantic search capabilities.
A decentralized real estate rental platform built on Ethereum using Solidity and React. It allows users to rent and lease properties using Ethereum smart contracts.
Built a Linux-native GUI for managing Ollama LLMs with streaming chat, persistent history, and model management. Packaged as AppImage & .deb, removing the need for CLI interaction.
Designed a CNN achieving 96% accuracy on EEG seizure detection; deployed as a live dashboard presented at Science Week.
A fine-tuned GPT-2 model that generates safe, engaging stories for children. Trained on TinyStories with Hugging Face Transformers, achieving 0.867 BERTScore.
A comprehensive web application built for developers using Spring Boot and Angular, powered by Groq API for AI-powered code assistance.
An interactive number comparison game using the Teaching at the Right Level (TARL) methodology, with adaptive logic and progression mechanics.
Recognitions
07
Certifications
04
Region
Global
Built 'Living Scientific Paper', an AI research assistant that transforms static PDFs into interactive reasoning engines using Gemini 3.5 Pro/Flash.
Have a project in mind or want to discuss opportunities? I'd love to hear from you.