- Independent Researcher specializing in Artificial Intelligence, Machine Learning, and Data Science.
- Focus on transparent and trustworthy AI systems that advance real-world impact.
- Expertise in:
- Explainable AI (XAI): improving interpretability, trust, and accountability in ML models.
- Agentic AI Systems: designing adaptive, multi-agent orchestration for robust decision-making.
- Forecasting & Optimization: developing leakage-free pipelines applied to aviation, energy, retail, and healthcare.
- Dedicated to bridging theory and practice, ensuring AI innovations are impactful, socially responsible, and aligned with national priorities.
- Contributed to a vision-driven accessibility tool translating sign language into text.
- Improved CNN pipeline for robustness across conditions.
- Built a unified pipeline combining statistical and ML models.
- Integrated SHAP, LIME, and Permutation Importance for transparent results.