Bachelor’s Degree: Computer Science Engineering, University of Debrecen, Hungary
Bachelor’s Thesis: Lane Line Detection using Computer Vision
Master’s Degree: Data Science, University of Padua, Italy
Master’s Thesis: Plant Disease Detection Using Hyperspectral Imaging
As a Data Scientist, I specialize in data analysis, machine learning, and deep learning, with expertise in Python, SQL, and PyTorch. My experience includes developing and deploying AI-driven solutions that enhance decision-making and drive innovation across industries. I am particularly passionate about MLOps, cloud technologies (GCP), and hyperspectral imaging, focusing on seamlessly integrating AI into real-world applications.
Currently, I lead AgriSpectra AI, a startup leveraging hyperspectral imaging and artificial intelligence for early plant disease detection, contributing to agricultural sustainability and food security.
Active in the Austrian tech ecosystem, I participate in hackathons and share industry insights through Ali Analytics, my LinkedIn blog, fostering a culture of learning and collaboration.
My goal is to inspire students to bridge the gap between theory and practice, empowering them to develop impactful AI solutions.