AI & Data Science Practitioner with experience in machine learning, data analysis, and building intelligent solutions for real-world problems.
Building Intelligent Solutions
I'm passionate about leveraging artificial intelligence and data science to create meaningful impact. With a strong foundation in machine learning and statistical analysis, I transform complex data into actionable insights.
My work focuses on developing human-centered AI solutions that solve real-world problems, from predictive modeling to natural language processing and computer vision applications.
Featured Projects
LocalBiplot — Explainable AI Visualization Engine
LocalBiplot analyzes complex agricultural data from UAVs to accurately assess crop water status. It leverages UMAP to reveal hidden non-linear relationships and non-stationary patterns in data. The framework detects meaningful data clusters and projects them into a single, interpretable biplot visualization.This integration enhances understanding of spatial and temporal crop variability.
Noise-Robust Deep Learning for Multiple Annotators Classification (GCECDL)
An AI model designed to learn from multiple people labeling the same data (annotators), even when they disagree. GCECDL uses a noise-robust training strategy to identify which annotators are more reliable and improve overall classification accuracy.
Explainable AI for Precision Agriculture
An interpretable AI product combining TabNet's attention-driven feature extraction and UL-Biplot visual analytics to make agricultural data transparent, actionable, and trusted.
Let's Work Together
I'm always interested in hearing about new projects and opportunities. Whether you have a question or just want to say hi, feel free to reach out!
Send Me an Email