I'm passionate about building modern, fast, and highly optimized web applications. I love experimenting with cutting-edge technologies and contributing to the open-source ecosystem.

✉︎ Contact Me for collaboration or questions!

• Building and tuning the ultimate Node.js tech stack for Web App:

  Component/Layer	Solution
  Web Framework	Vike Lite
  Frontend Framework	SolidJS
  CSS Framework	TailwindCSS
  CSS Components	daisyUI
  Web Server	Hono
  Web APIs	REST-as-RPC
  Database	MongoDB
  PWA	Vite PWA
  Cloud Provider	Vercel

• Contributing to vLite.js player to replace Video.js player → vLite.js currently lacks some features (see issues and PRs)

• 📻 Radio Playlist ~ website with a Playlist of Radio stations

• Deprecated Packages
• mongodb-query-parser-esm ~ fork of mongodb-query-parser to support ESM
• shell-bson-parser-esm ~ fork of shell-bson-parser to support ESM
• mongo-solid ~ rebuild of Mongo Express using a modern technology stack
• depatcher ~ apply patches (.patch files) to dependencies
• vite-patcher ~ patch Vite/Vike config to add plugins
• puppeteer-stealth-launcher ~ launch Puppeteer as stealth and without advertisements
• vike-lite ~ lite version of Vike web framework
• node-zip-stream ~ minimal, dependency-free streaming ZIP reader/writer for Node.js
• repo-to-llm ~ convert a source code of a GitHub repository into a single PDF to use as context of an LLM (also supported by Arena AI)

• Deprecated Templates
• Yarn Berry
• Vike Lite + React + daisyUI + Hono
• Vike Lite + SolidJS + daisyUI + Hono
• Vike Lite + Svelte + daisyUI + Hono
• Vike Lite + Vue + daisyUI + Hono

I'm looking for contributors to help build these projects. If you're interested, contact me.

A web app that visualizes an exercise progression tree as an interactive graph, grouped by difficulty and rank. Includes an AI-assisted wizard that generates custom workouts based on:

• Target skills/exercises
• Current level and experience
• Exercise progressions (repetitions/seconds required to advance)

Tech stack idea: SolidJS, D3.js/vis.js, OpenAI API, IndexedDB

A real-time fitness web app that provides live feedback and error corrections during exercise execution. Uses pose recognition from the device's camera and compares it with a training set generated from input videos.

Tech stack idea: TensorFlow.js/MediaPipe, WebRTC, SolidJS, Web Workers