Available for opportunities

Mohammed
El Kassoiri

Building the future with AI and Machine Learning. Passionate about designing intelligent systems that drive real-world impact.

engineer.py

class Engineer:
  name = "Mohammed El Kassoiri"
  skills = {
    "AI":   ["ML", "Deep Learning",
             "Computer Vision", "NLP"],
    "Code": ["Python", "JS", "SQL"],
    "Infra":["PyTorch", "TensorFlow",
             "FastAPI", "GEE"],
  }
  status = "Open to opportunities 🚀"

  def mission(self):
    return "Build AI that matters."

Who I am

About Me

Mohammed El Kassoiri

Data Scientist & AI Engineer

Data Scientist & AI Engineer specializing in Machine Learning, Deep Learning, and Computer Vision. Currently developing an AI system for automatic agricultural parcelization.

🌍 Location: Morocco 🇲🇦

🎓 Education: ENSIASD — Data Science, Big Data & AI

class AI:
  def __init__(self):
    self.name    = "Mohammed El Kassoiri"
    self.role    = "Data Scientist & AI Engineer"
    self.location = "Morocco 🇲🇦"
    self.focus   = ["ML", "Deep Learning",
                    "Data Science", "NLP"]

  def say_hi(self):
    print("Let's build the future! 🚀")

me = AI()
me.say_hi()

Featured Project (PFE)

In Progress

Automatic Agricultural Parcelization — Deep Learning system for automatic field delineation from satellite imagery using multi-task segmentation and edge detection.

Education

ENSIASD
Data Science, Big Data & AI
Taroudant, Morocco

Mission

AI & Data Engineer ready for the industry — seeking full-time roles in AI, Data Science, or Software Engineering where cutting-edge ML skills meet real-world impact. Ready to contribute to meaningful projects that shape the future.

My journey

Experience

Final Year Project (PFE) · In Progress

Final Year Project (PFE) — Automatic Agricultural Parcelization

Pôle Digital de l'Agriculture, de la Forêt et Observatoire de la Sécheresse

Feb 2026 – Jun 2026

Development of a Deep Learning-based AI system for automatic agricultural parcelization from satellite imagery, integrating a multi-task model combining semantic segmentation and edge detection.

▹Automatic field boundary detection via Encoder-Decoder models (DeepLabV3+)
▹Multi-task model: semantic segmentation + edge detection for precise boundaries
▹Sentinel-2 imagery with GIS integration (Google Earth Engine, QGIS)
▹Vegetation indices: NDVI, GNDVI, OSAVI
▹End-to-end pipeline: extraction → preprocessing → training → evaluation → fine-tuning

Deep LearningComputer VisionRemote SensingPythonTensorFlowPyTorchGEEQGIS

Data Science & Machine Learning Intern

XAI Morocco

Aug 2025 – Oct 2025

Contributed to the development of the X-EdTech platform, an educational ecosystem integrating several AI modules.

▹X-Forms: Automatic generation of intelligent forms
▹X-Quiz: AI-powered creation of assessment questions
▹X-Table: Advanced visualization and analysis of educational data

Data ScienceMachine LearningAIEdTech

Portfolio

Academic & Personal Projects

Industrial

Robot Arm Object Sorting System

Real-time object detection and automated sorting system using advanced CV algorithms for color-based sorting.

PythonOpenCVTkinterArduino+1

Code Demo

Other

English → Darija Translation System

Bidirectional neural machine translation between English and Moroccan Darija (Moroccan Arabic dialect), built on a state-of-the-art Transformer architecture.

NLPTransformersDeep LearningMoroccan Darija+1

Code Demo

Other

Letterboxd Movie Analytics & Recommendation System

Analyzed Letterboxd user data and built a personalized movie recommendation system combining past ratings with movie content.

Data SciencePythonNLPScikit-learn+3

Code

Medical

Medical-Diagnosis-COT-DeepSeek V1

Advanced medical language model fine-tuned for evidence-based medical question answering using a state-of-the-art transformer architecture.

Deep LearningTransformersMedical AIHealthcare+1

Code HF

Agriculture

Water Stress & Agricultural Adaptation Mapping (Taroudant)

Semantic segmentation system based on Attention U-Net for mapping water stress and agricultural adaptation potential using multi-source remote sensing data.

Remote SensingAttention U-NetSemantic SegmentationSentinel-1+3

Code Paper

Legal AI

MY LAW – Moroccan Legal RAG System

Retrieval-Augmented Generation (RAG) system for Moroccan legal texts, enabling accurate multilingual (Arabic/French) legal question answering with strict source citation.

RAGNLPArabic NLPLegal AI+3

Demo

Publications

Research & Publications

Mapping Water Stress and Agricultural Adaptation Potential Using Multi-Source 16-Band Attention U-Net: Case of Taroudant, Morocco

Read full paper →

Tech stack

Skills & Expertise

AI & Deep Learning

Machine Learning

Deep Learning

Transformers

Hugging Face

Computer Vision

NLP

Semantic Segmentation

Edge Detection

Multi-task Learning

Programming

Python

SQL

JavaScript

Frameworks & APIs

PyTorch

TensorFlow

Keras

Scikit-learn

DeepLabV3+

Flask

FastAPI

Data & Databases

Pandas

NumPy

SciPy

MongoDB

MySQL

SQLite

NLP Stack

NLTK

spaCy

Gensim

TextBlob

Mathematics & Theory

Statistics

Probabilities

Linear Algebra

Analysis

Remote Sensing & GIS

Remote Sensing

Google Earth Engine

QGIS

Sentinel-2

NDVI / Veg. Indices

Encoder-Decoder

Let's connect

Get In Touch

I'm an AI & Data Engineer open to exciting full-time opportunities in AI, Data Science, and Machine Learning. Let's connect and build something impactful together.

Say Hello 👋

MohammedEl Kassoiri