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System Engineer focused on advanced R/Shiny architectures, statistical modeling, and production-grade data applications. Trained in Econometrics
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Assessing your cultural and operational fit
Katonometrica
Data Scientist
June 29, 2026 – Present
universal-layout-engine
March 17, 2026 – Present
Cross-platform layout engine: Figma → Web, iOS, Android, Desktop. Powered by @mkatogui/universal-design-system.
View Projectuniversal-design-system
March 11, 2026 – Present
AI-native design system with BM25 reasoning engine — 9 palettes, 600 W3C DTCG tokens, 68 components, WCAG 2.1 AA validated, Tailwind/React/Vue/Svelte output, 57 industry sectors
View Projecteconometria
February 26, 2026 – Present
Actualización sustantiva de la tesis presentada en la Maestría en Econometría. Esta versión introduce cambios metodológicos, ampliaciones analíticas y revisiones estructurales respecto del trabajo originalmente defendido. El documento se encuentra en proceso de desarrollo y refinamiento continuo.
View ProjectPlumber_API
October 18, 2024 – Present
The Gapminder API is a RESTful web service built using the plumber package in R, designed to provide data and visualizations based on the Gapminder dataset. It offers three main endpoints that allow users to retrieve information about countries, generate plots, and calculate GDP.
View ProjectShinyApp-Utilizando-LLM-de-OpenAI
June 21, 2024 – March 19, 2025
Utilizando la API de OpenAI en aplicaciones web con R Shiny
View ProjectFAO_Area_Harvested
November 2, 2023 – April 11, 2025
Scraping FAO data and forecasting Area Harvested
View Projectapp_for_exploring_eurostat
August 22, 2023 – September 30, 2024
This app allow the user to explore the datasets from Eurostat and download them
View ProjectCultural Fit Analysis
The candidate's projects demonstrate a strong inclination towards personal development and exploration of various technologies (R, Python, TypeScript, Svelte, Vue). The 'universal-design-system' and 'universal-layout-engine' projects show an interest in complex, multi-disciplinary systems. The 'econometria' project indicates a deep academic interest. While diverse, the projects are predominantly personal, making it difficult to assess collaboration or team-oriented cultural fit without further information. The target role is Data Scientist, and many projects align with data analysis and machine learning, indicating a good technical fit for the role.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit. Project descriptions suggest an ability to work on diverse technical challenges.