portfolio-v2

Sam Shulman's personal portfolio site. Built with a "Void Terminal" design aesthetic — dark background, neon green accents, monospace typography, and a terminal-inspired UI throughout.

Features

• Hero section with an interactive terminal window displaying a JSON career profile
• AI Career Twin chat backed by Gemini that knows Sam's full professional context and can send real email introductions to recruiters
• Projects grid, skills section with bar charts, and a contact form
• Dynamic Open Graph and Twitter card image generation
• Boot sequence animation on page load

Tech Stack

• Next.js 16 (App Router) with React 19 and TypeScript
• Tailwind CSS v4 for styling
• Vercel AI SDK + Google Gemini for the AI chat (streaming, tool calling)
• Resend for transactional email (contact form + AI-generated intro emails)
• shadcn/ui for base components, customized to the Void Terminal theme

Local Development

# Install dependencies
npm install

# Copy the environment variable template and fill in values
cp .env.local.example .env.local

# Start the development server
npm run dev

The app runs at http://localhost:3000.

Environment Variables

Variable	Description
GOOGLE_GENERATIVE_AI_API_KEY	Gemini API key from Google AI Studio
RESEND_API_KEY	Resend API key for sending email
RECIPIENT_EMAIL	Address that receives contact form submissions and AI intro emails (defaults to samshulman6@gmail.com)
FROM_EMAIL	Sending address verified with Resend (defaults to onboarding@resend.dev)

Context Files

The AI Career Twin reads context from the /me directory at startup. Place the following files there before running the app:

File	Purpose
me/summary.md	Short biography and career context in plain text
me/resume.pdf	Resume — parsed server-side and fed to the AI agent
me/linkedin.pdf	LinkedIn profile export — also parsed and fed to the AI agent

Without these files, the AI chat will still function but will lack personal context.

Other Commands

npm run build   # Production build
npm run start   # Start production server
npm run lint    # Run ESLint

Deployment

Deploy to Vercel. Set all environment variables in the Vercel dashboard under Project Settings > Environment Variables.