About Me
Artificial Intelligence Engineering graduate (B.Sc., 2025) with project experience across machine learning, deep learning, and MLOps tooling (PyTorch, MLflow, Airflow, Docker). Comfortable working across the ML lifecycle…
Artificial Intelligence Engineering graduate (B.Sc., 2025) with project experience across machine learning, deep learning, and MLOps tooling (PyTorch, MLflow, Airflow, Docker). Comfortable working across the ML lifecycle from data preprocessing through model evaluation. UAE Golden Visa holder — no sponsorship or relocation required. Seeking an entry-level role or internship in AI/ML, software, or data.
Experience
none
<p>Currently seeking an internship or entry-level opportunity in AI/ML, software, or data-related roles. Recent Artificial Intelligence Engineering graduate with hands-on project experience in machine learning and deep learning (Python, PyTorch). Eager to apply my technical skills in a real-world environment, learn from experienced professionals, and grow into a full-time role. Open to on-site opportunities in Abu Dhabi and flexible on scope of work.</p>
PROJECTS
Cryptocurrency Price Movement Prediction & Trading Signal Generation
<p>Capstone Project, Bahçe<em>ş</em>ehir University, 2024–2025</p><p>• 4-person capstone team; built a hybrid LSTM + Random Forest model in Python to predict BTC/USDT price direction and</p><p>generate buy/sell/hold trading signals from live Binance market data.</p><p>• Reached up to 94.1% backtested accuracy; results fed into a React/Flask web app for real-time signal display.</p><p></p>
Diabetic Retinopathy Detection from Fundus Images
<p>Individual Project, 2024</p><p></p><p>• Independently trained an EfficientNetB0 deep learning model (PyTorch) to classify retinal images into 5 diabetic</p><p>retinopathy stages, using data augmentation to fix a heavily imbalanced dataset.</p><p>• Achieved 89% validation accuracy and a 0.90 weighted F1-score across all 5 classes.</p><p></p>