I'm a recent Computer Science graduate from the Technion, with a strong passion for AI, Machine Learning (ML), Deep Learning (DL), Reinforcement Learning (RL), and Computer Vision (CV).

I have experience in both academic and industrial projects where I built end-to-end pipelines: from data collection and preprocessing to feeding the data into the appropriate architectures and models.

• Restaurant Success Prediction - Developed a machine learning system to predict restaurant success using data from Google Maps and Instagram. Built end-to-end pipelines combining Random Forest for structured data and deep learning models for image and text analysis to extract relevant insights.

• CrackTrackAI - Built image processing pipelines using Hough Transform, Local Binary Patterns (LBP), and machine learning methods to analyze fractographic images. Applied classical vision and AI algorithms for industrial defect detection and classification.

• SDMRL Final Project - Implemented several reinforcement learning algorithms in a simulated environment, and developed a custom genetic learning algorithm that uses outputs from other RL algorithms to surpass baseline performance.