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Hi there! 👋

I'm Sabah Aljajeh.

AI/ML Engineer between Istanbul and Saudi Arabia. I build end-to-end machine learning pipelines, deep learning models, and intelligent data solutions. Passionate about turning complex problems into impactful AI applications.

Sabah Aljajeh
AI Engineer
Python PyTorch TensorFlow Scikit-learn FastAPI LangChain MLflow Docker

ABOUT

Passionate AI/ML Engineer between Istanbul and Saudi Arabia, turning complex data challenges into intelligent solutions.

I specialize in architecting end-to-end machine learning pipelines that solve real-world problems. My toolkit spans PyTorch, TensorFlow, FastAPI, Django, Scikit-learn, and MLflow.

What drives me is the impact these technologies create. Built for adaptability and thriving in collaborative environments, I'm ready to tackle global challenges wherever innovation calls.

EXPERIENCE

Junior AI Engineer & Web Developer @ Innovexia for Technology

Mar 2026 – Present · Part-time

Developing AI-powered solutions and machine learning models. Building and maintaining web applications, integrating AI models into production systems, and collaborating on scalable software solutions.

Al Jizah, Egypt · Remote

Operations Team Member @ Baharya

Oct 2025 – Dec 2025 · Full-time

Handled communications and international shipping operations within a fast-paced team environment.

Jeddah, Saudi Arabia · On-site

Back End Developer @ Alrifai Consulting Group

Apr 2025 – Jul 2025 · Internship

Completed intensive backend development internship specialising in Django and scalable web applications. Built RESTful APIs, implemented authentication systems, and optimised database performance with Python and PostgreSQL. Led development of a product review platform featuring user management, advanced search, and an admin panel.

Türkiye · Remote

AI Programmer @ ArafasApps

Feb 2025 – Apr 2025 · Internship

Developed an AI-powered chatbot that converts natural language into SQL queries for real-time data analysis using OpenAI API (GPT-3.5), Streamlit, and Snowflake. Refined prompt logic and SQL schema mapping to improve response accuracy. Delivered full solution as a 30-day internship project.

Istanbul, Türkiye · On-site

SKILLS

Languages

Python C++ SQL

ML / Deep Learning

PyTorch TensorFlow Scikit-learn OpenCV LangChain

Web & Backend

FastAPI Django Streamlit

Data & MLOps

MLflow Pandas Apache Airflow Feature Engineering Data Preprocessing

Databases

MongoDB PostgreSQL

DevOps & Tools

Docker Kubernetes Git

PROJECTS

Sales Analytics Dashboard

Production-ready sales analytics platform with interactive Streamlit dashboard, FastAPI REST API with JWT authentication, and ML forecasting using Prophet. Features real-time analytics on 540,000+ transactions, customer segmentation, geographic analytics, and comprehensive KPI tracking.

FastAPI Streamlit PostgreSQL Prophet Plotly JWT Auth

AI Medical Screening System

Graduation project: AI screening system for detecting Diabetic Retinopathy and Keratoconus using EfficientNetB6 and ResNet18. Achieved 93% Cohen Kappa and 85% accuracy with Grad-CAM explainability.

EfficientNetB6 ResNet18 Grad-CAM PyTorch Data Augmentation

Analytical Chatbot

Revenue Analytics Assistant — an AI-powered SQL chatbot that transforms natural language questions into data insights using LangChain and OpenAI GPT-3.5.

Python Streamlit LangChain OpenAI GPT-3.5 Plotly

Trendyol Language Data Analysis

Comprehensive data analysis case study examining language datasets with emphasis on quality assurance, pattern detection, and Arabic text processing. Features sequential Jupyter notebooks covering exploration, pattern recognition, and actionable insights.

Python Jupyter Notebook NLP Arabic Text Processing

MLflow + Ensemble Learning

Demonstrates the importance of ensemble learning and the use of MLflow for maintaining and monitoring different types of models and experiments.

TensorFlow Scikit-learn MLflow Pandas

Improving Online Continual Learning (CBA)

Addresses catastrophic forgetting in AI using a lightweight CBA adapter with bi-level optimization: an inner loop adapts to new tasks while an outer loop uses memory buffers to retain past knowledge.

CBA CIFAR-10 CIFAR-100 PyTorch

Stroke Prediction Project

Data science project performing EDA, hypothesis testing, visualizations, and building an SVM model to predict stroke occurrence from medical data.

SVM EDA Scikit-learn Synthetic Data

CERTIFICATIONS

Structuring Machine Learning Projects 2025 View
Neural Networks and Deep Learning 2024 View
Sequence Models 2024 View
Convolutional Neural Networks 2024 View
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 2024 View
Generative AI: Prompt Engineering Basics 2024 View
Generative AI: Foundation Models and Platforms 2024 View
Generative AI: Impact, Considerations, and Ethical Issues 2024 View
Machine Learning with Python 2023 View
Pandas 2023 View
Feature Engineering 2023 View
Data Visualization 2023 View
MLOps Platforms: Amazon SageMaker and Azure ML 2025 · Duke University View
Machine Learning Mini Boot-Camp 2025 · Yasmeen AI
Introduction to Applied Machine Learning 2023 · Alberta Machine Intelligence Institute View

GET IN TOUCH

Have a project in mind? Let's work together to bring your ideas to life.