Najma Abdulkarim Nour

AI/ML Engineer → LLM & RAG Systems

NajmaAbdulkarimNour

AI/ML Engineer with 3+ years of experience turning models into real products — LLM applications, retrieval-augmented generation pipelines, and machine learning systems running in production. I have shipped software for a nationwide Electronic Health Records platform in Somalia and integrated LLMs into UN operational workflows at IOM.

I am an IEEE-published researcher with two peer-reviewed papers on urban sound classification and crash hotspot detection, and I am currently completing an M.Sc. in Artificial Intelligence at Canadian University Dubai.

Currently open to AI Engineer, ML Engineer and Data Scientist roles in the UAE. Get in touch.

Experience

Where I have worked

Research labs, UN operations and national health systems — building AI and software that people depend on.

  1. 2026 — Present

    AI/ML Research Engineer

    Unkad Labs — AI Research Lab · Mogadishu

    • Built a complete LangChain RAG system: document ingestion, FAISS vector search, LLM integration and live deployment.
    • Evaluated 500+ LLM outputs for safety, accuracy and performance with structured testing and reporting frameworks.
    • Fine-tuned BERT for text classification and deployed it as a REST API with real-time inference monitoring.
  2. Apr 2025 — Dec 2025

    AI & Data Analyst

    IOM Somalia — UN Agency · Somalia

    • Integrated LLM APIs into UN operational workflows, cutting reporting time by 35% for UK and Denmark government donors.
    • Built KPI dashboards and data pipelines used by senior international stakeholders across Somalia operations.
  3. Oct 2024 — Mar 2025

    Software Engineer

    Raad System NGO — UNICEF-funded, Ministry of Health partner · Somalia

    • Shipped production features for an Electronic Health Records system running across 80 healthcare facilities.
    • Built data pipelines, REST APIs and Docker deployments in a live production environment.
  4. Dec 2022 — Present

    Co-Founder & Technical Lead

    Uuntuse — Digital Non-Profit · Remote

    • Built and maintain AI platforms serving organisations across 12+ African countries — Python, REST APIs and full-stack deployment.

Selected projects

Things I have built

IEEE Published97.1% accuracy

CNN Urban Sound Classifier

A convolutional network that classifies urban sounds, outperforming Random Forest (91.4%) and SVM (88.6%) baselines.

LLMProduction

LangChain RAG Pipeline

End-to-end retrieval-augmented generation: document processing, FAISS vector search, LLM API integration and performance monitoring.

Healthcare ML+40% rare-class recall

ECG Anomaly Detector

Cardiac anomaly detection pipeline using SMOTE resampling, with a full Random Forest vs LSTM evaluation.

IEEE PublishedDBSCAN

Crash Hotspot Detection

Identifies high-risk traffic zones in Dubai using DBSCAN clustering and severity-weighted scoring.

Research

Peer-reviewed publications

  1. IEEE · 2026

    Urban Noise Monitoring and Classification Using ML and Deep Learning

    Nour, N. et al. — IEEE International Conference on Smart Mobility, Egypt

    DOI: 10.1109/SM69703.2026.11614142

  2. IEEE · 2026

    Crash Hotspot Detection in Dubai using DBSCAN and Severity Weighting

    Alblooshi, M., Nour, N. et al. — IEEE International Conference on Smart Mobility, Egypt

    DOI: 10.1109/SM69703.2026.11614141

Toolkit

Skills

LLM & AI Engineering
PythonLangChainRAGClaude APIGPT-4GeminiAgentic AIFAISS
Machine Learning
PyTorchTensorFlowBERTCNNLSTMHugging FaceScikit-learn
Data Science
Anomaly DetectionDBSCANSQLETLPandasNumPyMatplotlib
Engineering
DockerREST APIsFastAPICI/CDAzureAWSONNXC#JavaScript

Education

Study

  1. Jan 2026 — Present

    M.Sc. Artificial Intelligence

    Canadian University Dubai, UAE

    Machine Learning · Deep Learning · NLP · LLM Engineering · Computer Vision · Agentic AI

  2. 2020 — 2024

    B.Sc. Computer Science

    SIMAD University, Somalia

    Elected Chairman of the Faculty of Computer Science, representing 900+ students.

Recent articles

Writing

Notes on LLM engineering, machine learning and building AI systems that hold up in production.

View all articles