I build AI for the ground beneath us: soil, climate and satellite data.
PhD in Artificial Intelligence. Machine learning, GeoAI and quantum machine learning for agriculture and climate, plus full-stack web and data products for e-commerce.
Education
USTHB, Algiers, 2022–2025
USTHB, Algiers, 2019–2021
USTHB, Algiers, 2016–2019
Skills
- AI and machine learning
- PyTorch, TensorFlow, Keras, scikit-learn, CNNs (ResNet, VGG, U-Net), LSTM/GRU, LLMs (GPT, LLaMA, Qwen), HuggingFace
- GeoAI
- Sentinel-2, Sentinel-5P, Landsat, Google Earth Engine, QGIS, ArcGIS, Rasterio, GDAL
- Quantum computing
- Qiskit, PennyLane, QSVM, QNN, QCNN, QLSTM, Grover, amplitude estimation
- Data and web
- Power BI, Looker Studio, SQL, MongoDB, ETL, Python, JavaScript, React, Next.js, MedusaJS, Node.js, PHP
Experience
Freelance AI and Web Developer, Client: Alzir
Multimodal generative AI module extracting product data from social media; multi-vendor e-commerce marketplace with an automated product-listing pipeline.
AI Engineer, Africa Space Works, Algiers
Multispectral and hyperspectral satellite image processing: atmospheric correction, denoising, feature extraction, automated Google Earth Engine workflows.
Freelance Data Analyst, Clients: Footland, Gomode
Analytics dashboards for advertising and e-commerce performance, with automated data flows (Supermetrics, REST APIs) and KPI design.
AI Research Engineer and Lecturer, LRIA, USTHB Algiers
National research project with the Ministry of Agriculture: soil and climate data warehouse, digital soil mapping, methane forecasting and leak detection with deep and quantum ML. Taught algorithmics, data mining and optimization.
Full-stack Web Developer, MisqTech (remote, UAE)
Front-end and back-end architecture of the TotalSuite WordPress plugins and website; interactive dashboards.
Data Science Intern, VEON – Djezzy, Algeria
Recommendation system based on customer lifestyle segmentation and real-time geolocation.
Selected projects
SUELO — AI-Powered National Soil Intelligence Platform
SUELO is a national research and innovation project developed in collaboration with Algeria's Ministry of Agriculture, aiming to build a next-generation GeoAI platform for soil characterization, monitoring, and assessment. The platform combines AI, remote sensing, and geospatial analytics to deliver actionable insights into soil properties, support sustainable agricultural practices, and improve land-use planning in the context of climate change.
Agentic AI and Explainable attention-based digital soil mapping
Attention-based deep learning to map soil properties in Algeria, with explainability and an agentic AI layer, an extension and improvements to the SUELO Project.
MethaneEye – Methane Plumes Detection and Quantification
MethaneEye is an integrated geospatial platform designed to detect, quantify, monitor, and visualize methane emissions using satellite remote sensing data. By combining observations from multiple satellite missions with meteorological data and oil and gas infrastructure information, the platform provides a unified workflow for identifying methane emission events and estimating their potential environmental and economic impacts.
Research
Peer-reviewed work on digital soil mapping, quantum machine learning and soil data warehousing. Other research activities including conferences, workshops, and volunteer activities.
Certificates & labels
Certifications and labels earned in the course of professional development and achievements.
Work with me
Available for freelance projects and full-time roles.
AI integration
LLM and computer-vision pipelines that turn images and text into structured data.
Analytics dashboards
Power BI and Looker Studio dashboards fed by automated, multi-source data flows.
E-commerce platforms
Multi-vendor marketplaces with seller, storefront and admin interfaces.
Geospatial analysis
Satellite image processing, mapping and remote-sensing workflows.