Building intelligent AI systems using Transformers, Machine Learning, and Data-Driven Analytics.

I am an AI Engineer pursuing a Master's degree in Artificial Intelligence at King Faisal University. My work focuses on developing intelligent systems that combine advanced machine learning, deep learning, and data analytics to solve real-world challenges across predictive maintenance, sustainability, and industrial applications.

My interests include Transformer architectures, predictive analytics, trustworthy AI, and scalable machine learning systems.

• Artificial Intelligence
• Machine Learning
• Deep Learning
• Transformer Architectures
• Predictive Maintenance
• Data Analytics
• Sustainability Analytics
• Explainable AI

Python • SQL

PyTorch • TensorFlow • Scikit-learn • Pandas • NumPy

Transformers • CNN • Time-Series Forecasting

FastAPI • REST APIs • Docker • Git

Google Cloud Platform

PostgreSQL

A Transformer-based framework for Remaining Useful Life (RUL) prediction using the NASA C-MAPSS turbofan engine datasets.

• Transformer architecture for industrial time-series prediction
• Leakage-free engine-aware training pipeline
• Multi-head self-attention
• MC Dropout uncertainty estimation
• Domain adaptation using CORAL
• Comprehensive evaluation using RMSE, MAE, R², and NASA Score

Technologies

PyTorch • Transformers • Time-Series Analysis • Predictive Maintenance • Deep Learning

Machine learning framework for clustering national CO₂ emission profiles and economic indicators to support sustainable energy transition strategies.

• Unsupervised machine learning for country clustering
• Analysis of CO₂ emission patterns
• Economic indicator integration
• Sustainable energy transition insights
• Data-driven policy support

Status

Currently under peer review in ENERGY (Tech Science Press).

Technologies

Python • Scikit-learn • Clustering • Data Analytics • Sustainability • Machine Learning

• Data-Driven Decarbonization: Clustering of National CO₂ Emission Profiles and Economic Indicators for Sustainable Energy Transitions
  Currently under peer review in ENERGY (Tech Science Press).

• Transformer-Based Predictive Maintenance Using Industrial Sensor Time-Series Data
  Manuscript in preparation for submission.

• Google Professional Machine Learning Engineer
• TensorFlow Developer Certificate
• Certified Ethical Hacker (CEH)

Master of Science in Artificial Intelligence
King Faisal University (Expected 2027)

Bachelor of Computer Science
King Faisal University (2022)

Email: alkayaliasma@gmail.com

GitHub: https://github.com/AsmaAlkayali

LinkedIn: www.linkedin.com/in/asma-alkayali