Classifying Waste with a Hybrid Deep Learning Approach
Combining traditional image processing with deep learning to build an automatic waste classification system — achieving 85% accuracy with a hybrid HOG + ResNet approach.
Thoughts on software engineering, algorithmic trading, and technology.
Combining traditional image processing with deep learning to build an automatic waste classification system — achieving 85% accuracy with a hybrid HOG + ResNet approach.
Why I finally built my personal website from scratch — choosing design over templates, and Next.js for performance and SEO.
Building three projects combining popular programming languages with essential testing methodologies — Black-Box Testing, BDD, and Pairwise Testing.