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For work, collaborations & everything else, reach me at

andrei.huyoa.me@gmail.com

02 - selected work

Projects

Work projects

PH Business Network(opens in a new tab)

Shinka Studios · Mar 2025 – Aug 2026

Rebuilt the website frontend in Next.js to improve SEO readiness, site structure, user experience, and maintainable MDX content. Joined stakeholder meetings to gather requirements, review progress, and align implementation with business goals.

  • Improved SEO readiness across the site.
  • Reworked the landing page: hero, past events, partner brands, and community sections.
  • Handled the event photos: galleries, albums, and image viewing on desktop and mobile.
  • · Next.js
  • · MDX
  • · Tailwind CSS
  • · Motion

Keystone Appraisal Platform

Shinka Studios · Mar 2025 – Aug 2026

Built and maintained features across the Next.js frontend and Go services of a land sales appraisal platform, automated DOCX appraisal reports with Azure file delivery, and created internal tooling for report generation and operational visibility. Internal product, no public link.

  • · Next.js
  • · Go / Echo
  • · Python
  • · Azure

Personal projects

Ditherkit — Photoshop Dithering Plugin

GitHub(opens in a new tab)

An open source Photoshop plugin for dithering and halftones: 31 patterns, palette tools, and a zoomable live preview, with each Dither applied as a single undo step. Built on Bolt UXP with a React webview UI, a shared design system for future plugins, and a tested TypeScript image engine.

  • · TypeScript
  • · React
  • · Photoshop UXP
  • · Image Processing

Fig — Personal Saves Library(opens in a new tab)

An iOS-first personal saved links library for keeping, organizing, searching, and returning to saved links across social media and the web that matter. Currently in active development with SwiftUI and SwiftData, alongside a lightweight macOS menu-bar companion.

  • · SwiftUI
  • · SwiftData
  • · iOS
  • · macOS

Hilom — Healthcare Recommendation API Model(opens in a new tab)

Led a hybrid recommendation API for healthcare facilities in Ermita, Manila, combining content-based filtering, a neural network, and Haversine distance. The model achieved 80.7% Recall@5 and 0.65 mean average precision.

  • · Python
  • · Flask
  • · Neural Network
  • · Amazon S3