📄 Resume

AI Engineer & Geomatics Specialist

📧 Contact for Hire

Ibrahim Kabore

📍 Ben Guerir, Morocco 📧 hello@agenticbrahim.dev 🌐 agenticbrahim.dev 💼 LinkedIn 🐙 GitHub

🎯 Objective

Geomatics & Environmental Data Science Engineer (M.Sc., 2025) pivoting into AI Engineering. Specialized in building production-grade ML systems for agricultural monitoring. AI-literate with hands-on experience in LLM Engineering, RAG orchestration, and QLoRA fine-tuning. Passionate about deploying Agentic AI to solve complex environmental and agronomic challenges in Africa.

🛠️ Skills

AI & GenAI RAG Systems, Agentic Workflows (CrewAI, Nvidia NeMo), QLoRA Fine-tuning, LangChain
Machine Learning Scikit-learn, PyTorch, Random Forest, PLSR, MLOps
Geospatial AI Google Earth Engine, Sentinel-1/2 SAR, QGIS, Rasterio, GDAL
Languages & Tools Python (Advanced), R (Shiny), SQL, Docker, Git, LaTeX

💼 Experience

Data Science Intern (Soil Spectroscopy & ML Modeling) Feb 2025 – Jul 2025
UM6P - Center for Remote Sensing Applications (CRSA) · Ben Guerir, Morocco
  • Engineered automated pipelines for soil spectral data (Vis-NIR), utilizing SNV/MSC and PCA for standardization
  • Trained Random Forest and SVR models to predict Soil Organic Matter with high precision for Moroccan soil
  • Established "Trust & Quality" framework to calculate model uncertainty (Confidence Intervals)
  • Harmonized multi-source soil libraries across Mediterranean datasets, ensuring QA/QC for large-scale integration
Remote Sensing Researcher (Radar-Based Monitoring) Feb 2024 – Jul 2025
Research Project (Sidi Bennour Region) · Morocco
  • Built cloud-based monitoring workflows using Google Earth Engine to process multi-temporal Sentinel-1 (SAR)
  • Integrated climate data (CHIRPS Rainfall, ERA5) with vegetation indices to model crop response to thermal stress
  • Conducted time-series analysis to differentiate resilience patterns between irrigated and rainfed systems

🚀 Projects

Agentic AI Chatbot for Agriculture 2025
Python, RAG, QLoRA, CrewAI
  • Developed AI-powered agent using RAG to assist farmers with context-aware agronomic advice
  • Implemented fine-tuning of open-source models (Llama) using QLoRA for domain-specific accuracy
  • Orchestrated multi-agent systems using CrewAI and Nvidia NeMo for complex query routing
Predictive Soil Analytics Dashboard 2025
R, Shiny, Machine Learning
  • Built interactive dashboard for real-time soil property predictions
  • Implemented backend inference using pre-trained Chemometric ML models with "Farmer Guide" interface

🎓 Education

Master of Science in Geomatics & Environment Jul 2025
University Sultan Moulay Slimane (FST Béni Mellal) · Morocco

Specialization: Machine Learning

Bachelor of Science in Earth Sciences Sep 2023
University Sultan Moulay Slimane (FST Béni Mellal) · Morocco

Geomatics & Land Planning

📜 Certifications

  • AI Engineering Track: Agentic AI with Andrew Ng & Nvidia's NeMo Agent Toolkit
  • AI Engineer Core Track: LLM Engineering, RAG Implementation, QLoRA Fine-tuning
  • Machine Learning Specialization: Stanford Online / DeepLearning.AI (99% Completed)
  • Aspire Leadership Program: 2025
  • NASA ARSET: Remote Sensing Certification