- Focused on deploying AI models and solutions into production, bridging the gap between research and real-world impact.
- With a strong passion for Computer Vision, I am eager to explore its applications in advancing industries and improving lives.
- Cloud-based machine learning, leveraging platforms like AWS to deliver scalable, efficient, and transformative AI applications.
- My goal is to push boundaries, solve real-world problems, and continuously evolve as part of a collaborative and innovative environment.
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picturaizer
picturaizer PublicPicturaizer – your one-stop AI-powered toolbox to upscale, enhance, and creatively edit your photos! 😎✨ Whether you're looking to boost image details, clean up noise, or add that extra artistic fla…
TypeScript
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tennis-stats-analyzer
tennis-stats-analyzer PublicAn end-to-end computer vision and machine learning system that processes tennis match videos to detect players and the tennis ball, compute shot speeds and player movement statistics, and generate …
Jupyter Notebook
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end-to-end-cancer-classifier
end-to-end-cancer-classifier PublicAn automated system for detecting pulmonary adenocarcinomas using deep learning and computer vision techniques. The project features a modular pipeline—from data preprocessing and augmentation to m…
Jupyter Notebook
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want-that-backend
want-that-backend Public🔍 AI-powered visual search API that helps users find and compare products online by uploading images. Built with FastAPI and computer vision.
Python
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Drowsiness-AI-detection
Drowsiness-AI-detection PublicUsing OpenCV for gathering the images from webcam and feed them into a Deep Learning model which will classify whether the person’s eyes are ‘Open’ or ‘Closed’.
Python
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ML-geographic-research
ML-geographic-research PublicResearch through ML algorithms to find out which neighborhood in Madrid is the best for a young family
Jupyter Notebook
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