PhD in Computer System Engineering with over 8 years of post-PhD experience in AI, Machine Learning, Explainable AI (XAI), Optimization and interdisciplinary applications of intelligent systems.
I specialize in applying AI techniques to diverse domains such as finance, engineering, healthcare, and education. My work blends research excellence, data-driven solutions, and academic mentorship to deliver real-world impact.

Domain-Specific Expertise:
• Finance: ESG scoring, risk modeling, fraud detection, gender diversity analysis
• Engineering: Optimization with evolutionary algorithms, predictive maintenance, control system modeling
• Healthcare: Diagnosis prediction, user interfaces for accessibility, medical imaging analytics

AI Services & Consulting:
I provide AI consultancy to researchers, startups, academic institutions, and businesses. From solution design to prototyping and implementation, I support you in integrating ML models, optimizing workflows, and extracting interpretable insights.
Technical Skills Include:
• Machine Learning, XAI (SHAP, LIME, Rule Extraction)
• Data Visualization (matplotlib, seaborn,)
• Statistical Analysis for User Studies (SPSS, Python Excell)
• Research Editing & Thesis Review (APA, IEEE, Elsevier)

Academic Credentials:
• Published in high-impact journals
• Reviewer for IEEE Transactions, Elsevier Journals
• Supervised multiple BS, MS, and PhD students
• 5 years as Head of Department, Department of Computer Science