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Rafael Kovashikawa

Data Scientist & AI Engineer at FUSE. Writing about AI agents, MCP servers, quantitative finance, and data engineering.

kovashikawa.github.ioRSS feed ↗8 posts

Latest posts

The Measurement Was Harder Than the Model

I distilled a 1.7B model into a BLS tool-calling agent. Six measurement mistakes in a row, a val-loss trap that was a config bug, a fix that came from changing what the model says rather than how it trains, and a lesson about what happens when your test failures and your usability requirements overlap.

Winning the Google Cloud AI Hackathon: Building Multimodal Medical Annotation at Scale

How we designed a production-oriented multimodal system for medical image annotation and won the December 2025 Google Cloud AI Hackathon.

Analysing the impact of AI jobs at World Bank DataDive 2025

Our team built an interactive dashboard analyzing global AI job market trends and skills gaps across 66 countries using Stanford HAI data and World Bank labor indicators.

MCP: Inside the Data Layer and the Choice of JSON-RPC 2.0

technical reflection on how the MCP structures agentic communication

Architects, Anthills, and AI: A Nobel Prize’s Lesson on Scientific Progress

chemistry nobel prize offers a profound lesson on scientific progress, with the AI acceleration

Spotify2YouTube is Back!

now I have a youtube API quota to construct the database

How to Add a Favicon to Your Jekyll Site

favicon is a small icon that appears next to your site’s title in browser tabs

Why Lack of Correlation Doesn’t Mean Independence

pearson’s ρ drops to zero for X vs |X|—a neat example of hidden dependence.