Blog
Series How I built a Python data pipeline to transform 70 years of Japanese economic history into game-ready event data — scraping Wikipedia, modeling macro indicators, and simulating stock prices that feel authentic.
Series How the game-core architecture separates framework-agnostic logic from rendering, why Phaser 3 handles the board while Next.js handles everything else, and the engineering decisions behind authentication, PWA support, and i18n.
Series The origin story of META FIT: how a decades-old vision of seeing yourself in clothes before buying evolved from hardware kiosks to GAN-powered virtual try-on, plus a comprehensive survey of 15+ VTON research models.
Series A deep dive into Generative Adversarial Networks: how the generator-discriminator dynamic works, why GANs dominated image generation before diffusion models, and how they power virtual try-on systems.
Series A code-level walkthrough of the Parser-Free Appearance Flow Network: Feature Pyramid encoding, CUDA-accelerated correlation kernels, optical flow warping, and the ResUnet generator that composites garments onto people.
Series How OpenPose skeletal detection, Graphonomy human parsing, and custom body measurement algorithms work together to enable accurate virtual fitting — plus an exploration of PiFu for 2D-to-3D reconstruction.
Series What the GAN-based virtual try-on system achieved, where it failed (and why), the smartphone app design, and how diffusion models are changing everything for the next generation of META FIT.
Series Using cosine similarity on nutritional vectors to find recipes that match a target meal's nutrition profile but offer completely different flavors — at both the recipe and menu level.
Series How I tackled the universal 'what's for dinner' problem over a decade ago using classical data science — cleansing 20,000 recipes, 200,000 ingredient records, and nutritional data into a unified ML-ready dataset.