Hi there! 👋
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.
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.
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
Oct 2025 – Dec 2025 · Full-time
Handled communications and international shipping operations within a fast-paced team environment.
Jeddah, Saudi Arabia · On-site
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
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
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.
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.
Revenue Analytics Assistant — an AI-powered SQL chatbot that transforms natural language questions into data insights using LangChain and OpenAI GPT-3.5.
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.
Demonstrates the importance of ensemble learning and the use of MLflow for maintaining and monitoring different types of models and experiments.
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.
Data science project performing EDA, hypothesis testing, visualizations, and building an SVM model to predict stroke occurrence from medical data.
Have a project in mind? Let's work together to bring your ideas to life.