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Implementing AI in Products
🤓
Implementing AI in Products
  • Pinhous
  • Toronto, Canada
  • 13:38 (UTC -05:00)
  • X @radroid

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radroid/README.md

👋 I'm Raj — Generalist Builder

I architect digital experiences and design physical adventures.

Background: Mechanical Engineering → Nuclear Energy → Full-Stack Development
Current: Founder at ARK Adventures (adventure experiences for 2000+ participants) | Building Penguin Mail (email client for VCs)

I'm a product manager with a developer brain — I don't just ship features, I ship systems that solve real human problems.


🛠️ What I Build

Live Projects:

  • 🏔️ ARK Adventures — Scavenger hunts, adventure races, and immersive experiences across Toronto (15+ participants per event, 2 test runs and counting!)
  • 📧 Penguin Mail — Email client purpose-built for VCs to manage dealflow
  • 💎 Diamond Inventory System — Automation platform for diamond polishing & inventory tracking

Tech Stack: Next.js, TypeScript, Convex, Cloudflare Workers, Tailwind, shadcn
Interests: Web3, AI agents, offline-first PWAs, experiential design


🧠 Philosophy

I believe the future belongs to generalists who can orchestrate systems, not specialists who optimize within silos.

  • Engineering teaches you systems thinking
  • Startups teach you speed & pragmatism
  • People teach you what actually matters

I'm not here to write the perfect algorithm. I'm here to build things that make life more memorable.


🔥 Right Now (Dec 2025)

  • Launching Penguin Mail beta to VCs
  • Scaling ARK Adventures across North America
  • Experimenting with AI agents for event personalization
  • Building a portfolio that shows who I actually am

🌍 Let's Connect

  • 🐦 Twitter: @radroid
  • 🌐 Portfolio: Coming soon
  • 📧 Open to collaboration on experiential tech, Web3 projects, AI agent experiments, or just good conversations about generalism

"The best engineers in 2030 won't be the ones who code the fastest — they'll be the ones who architect systems that code themselves."

Pinned Loading

  1. stock-price-predictor stock-price-predictor Public

    The aim of this project is to predict the long-term price trend of two indices and one stock with at least 90% accuracy.

    Jupyter Notebook 2

  2. playgroundcn playgroundcn Public

    A static Next.js playground for exploring, editing, and theming shadcn/ui components with live Sandpack previews.

    TypeScript 1

  3. simple-stock-tracker simple-stock-tracker Public

    Track and recommend one of the three chosen stocks based on price in the past 30 days and last two weeks of news.

    Jupyter Notebook 1