Kyo Harada — Visage AI / Data Scientist
On-device skin analytics with finance-grade pipelines—CoreML optimization, RAG systems, and real-time evaluation.
- −75% model size
- 3× inference
- −60% RAM
- <5% Δ accuracy
Core Capabilities
On-device Skin Scoring
CoreML-optimized models for real-time skin analysis with privacy-first design.
Evaluation Dashboard
RAG/LLM audit with reproducible benchmarks and actionable recommendations.
Privacy by Design
On-device processing so data never leaves the user's device.
Latest Posts
Cultural Beauty Standards Analysis: AI-Driven Insights into Regional Aesthetic Patterns
Series Navigation Beauty Pipeline Analysis Series: Cultural Beauty Standards Analysis ← Current (Week 2) Skin-Body Correlation Study (Week 4) - Coming Soon Closed-Loop Optimization (Week 6) - Coming...
Marketing Science Analysis Status: Specification-Compliant Implementation with Real-World Insights
Series Navigation Marketing Science Analysis Series: Duplication of Purchase Analysis Double Jeopardy Analysis Category Entry Points Analysis Moderation & Dirichlet Analysis Analysis Status Overview ← Current (Hub) TL;DR...
Moderation and Dirichlet Analysis: Quantile-Based Insights and Model Fit Challenges
Series Navigation Marketing Science Analysis Series: Double Jeopardy Analysis ← Previous Category Entry Points Analysis ← Next Duplication of Purchase Analysis Analysis Status Overview ← Hub TL;DR Key...