Available for internships

hi, Yassine here.

Computer Science & Data Engineering Student

I design and deploy AI-powered systems including multi-agent architectures, automation pipelines, and intelligent web applications using LLMs and machine learning.

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Engineering student in Computer Science and Data Engineering, with hands-on experience building AI, machine learning, and data-driven applications.
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about me

Engineering student in Computer Science and Data Engineering at ENSA Khouribga with hands-on experience building AI, machine learning, and data-driven applications. Experienced in reinforcement learning, LLM-powered systems, multi-agent AI, forecasting models, and full-stack web applications. Seeking a Summer 2026 internship in AI, Machine Learning, Data Science, or Data Engineering to apply my technical skills to real-world challenges while continuing to grow as an AI engineer.

Here are some technologies I have been working with:

Python
Machine Learning
Multi-Agent Systems
LLM Engineering
AI Automation
Web Applications

When I'm not coding or training models, I'm actively involved in my community, sharing knowledge and fostering growth in tech spaces. I believe in continuous learning and approaching challenges with creativity and determination.

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Projects: 20+
Education: Year 3
Role: Community Leader

education

Engineering Degree in Computer Science and Data Engineering

ENSA Khouribga

09/2023 – Present

Baccalaureate in Experimental Sciences

Khadija Umm Al-Mu'minin Qualifying High School

09/2022 – 06/2023

projects

ARIES — AI-Driven Renewable Energy Storage Optimization System

Developed an end-to-end AI system for hybrid energy storage optimization using machine learning forecasting models and a Proximal Policy Optimization (PPO) reinforcement learning agent to optimize energy consumption, extend battery lifespan, and reduce electricity costs. Built a real-time monitoring dashboard for energy analytics and system performance visualization. Ranked Top 2 in the Greenov Competition.

Python • Scikit-learn • Reinforcement Learning (PPO) • ML Ensembles • Flask
GitHub

AvicennAI — AI-Powered Medical Assistant Platform

Developed an AI-powered medical assistant platform using Google Gemini and LangChain, integrating conversational AI, multimodal medical image analysis, and autonomous drug side-effect tracking agents. Designed an MCP-based architecture with Arcade Gateway for tool-calling agents and built a responsive SaaS-style interface with real-time streaming responses.

Python • Flask • LangChain • SQLite • MCP Protocol • Arcade Gateway • HTML/CSS • JavaScript
GitHub

ProcureAI Crew — Multi-Agent Product Research & Procurement Automation System

Built a multi-agent AI automation system using CrewAI to streamline product research, price comparison, and procurement workflows through coordinated AI agents, web scraping, search automation, and HTML report generation.

Python • CrewAI • AgentOps • Tavily API • ScrapeGraphAI • Gemini API • LLM Agents
GitHub

Sub2Voice — AI Subtitle Translation & Voice Generation Web Application

Built a full-stack AI application that translates English subtitles into Arabic and generates AI-powered voice narration using Text-to-Speech (TTS) APIs. Developed an interactive web interface for subtitle processing and audio generation.

Python • Flask • JavaScript • HTML • CSS • AI APIs • Text-to-Speech • TTS
GitHub

StoryBooks — Full-Stack Story Sharing Platform

Developed a full-stack web application that enables users to create, manage, and share personal stories with public or private visibility. Implemented secure Google OAuth 2.0 authentication, full CRUD operations, story search, and a personalized dashboard using a server-side MVC architecture with Node.js, Express, MongoDB, and Handlebars.

Node.js • Express.js • MongoDB • Mongoose • Passport.js • Google OAuth 2.0 • Handlebars • Materialize CSS
GitHub

Brazilian E-Commerce Analytics — End-to-End Business Intelligence & Customer Analytics

Conducted an end-to-end data analytics project on approximately 100,000 Brazilian e-commerce orders to uncover actionable business insights through data cleaning, feature engineering, KPI development, and customer segmentation. Performed RFM analysis, delivery performance evaluation, payment behavior analysis, and interactive data visualization to generate strategic recommendations for customer retention, operational efficiency, and revenue growth.

Python • Pandas • NumPy • Scikit-learn • Matplotlib • Plotly • SciPy • Statsmodels • Jupyter Notebook
GitHub

Activités+ — AI-Powered University Club Management System

Developed a full-stack web application for managing university clubs, students, events, sponsors, and extracurricular activities through comprehensive CRUD operations and advanced analytics. Integrated a Gemini-powered natural language interface that translates user queries into SQL, alongside real-time KPI dashboards, data mining features, relational search, and activity ranking to support intelligent administrative decision-making.

Python • Flask • SQLAlchemy • SQLite • Google Gemini API • HTML/CSS • Jinja2 • Data Mining • SQL
GitHub

skills

Here are the technologies and tools I've been working with across various domains including data science, AI, and web development.

Core programming languages I use for software development, scripting, and system engineering.

My AI and Machine Learning toolkit enables me to build intelligent systems that learn from data and solve complex problems.

These data science skills help me extract actionable insights from complex datasets and build data-driven solutions.

Web development technologies I use to create responsive and interactive user interfaces and robust backends.

Database management systems for storing, retrieving, and organizing application and analytical data.

Essential development tools for version control, deployment, and creating interactive applications.

contact

I'm currently looking for new opportunities and collaborations. Whether you have a question or just want to say hi, I'll do my best to get back to you!

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