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Peter van Beek — AI Systems Engineering Portfolio

From signal to system.
I build efficient AI for real-world constraints—bridging speech and vision models, inference optimization, accelerator hardware, and embedded deployment.

This repository contains the production portfolio website for Peter van Beek, Ph.D., designed for senior AI hiring managers and engineering leaders at companies such as NVIDIA, ASML, Tesla, Rivian, Apple, Qualcomm, and AMD.


🚀 Key Features

  • Proof-Backed Engineering Position: Built around 25+ years connecting raw sensor signals, deep learning models, quantization/profiling, silicon accelerator specs, and embedded deployment.
  • Flagship Case Studies:
    1. Rivian & VW Group: Voice Assistant Speech AI Model Inference Acceleration (TTS/ASR/Noise Suppression).
    2. Intel Camera & Vision Group: Deep Learning Vision Models & Accelerator Silicon Co-Design.
    3. Intel & Mobileye: Automated-Driving Safety & Open-Source C++ Library (ad-rss-lib).
    4. Sharp Labs of America: Computer Vision R&D, Tech Transfer & MPEG Standards Co-Editor.
  • Interactive Architecture Visual: Custom interactive SVG "Signal → Model → Profile → Silicon Specs → Safety → Product" diagram.
  • Claims Governance: Every claim verified against résumé, public GitHub repos (ad-rss-lib), or published IEEE/patent records. Claims ledger maintained at docs/claims-ledger.md.
  • Precision Lab Design System: Slate dark theme, IBM Plex Mono & Inter font pairing, accessible contrast, zero stock image fluff.
  • Production Engineering: Built with React 18, TypeScript, Tailwind CSS, and Vite. Achieves WCAG 2.2 AA compliance and 100/100 Lighthouse target scores.
  • Firebase Hosting Ready: Packaged for Firebase Hosting Spark (Free) tier with zero backend overhead.

💻 Local Development Commands

1. Install Dependencies

npm install

2. Start Local Development Server

npm run dev

Open http://localhost:5173 in your browser.

3. Type Checking & Build

npm run build

Generates production-optimized static files in the dist/ directory.

4. Preview Production Build Locally

npm run preview

⚡ Firebase Deployment Instructions (Spark Free Tier)

This portfolio is configured for Firebase Hosting static deployment.

Step 1: Install Firebase CLI (if not already installed)

npm install -g firebase-tools

Step 2: Login to Firebase

firebase login

Step 3: Initialize or Select Firebase Project

If first time:

firebase init hosting
  • Select Use an existing project or Create a new project.
  • Set public directory to: dist
  • Configure as single-page app: Yes
  • Set up automatic builds: No (or as preferred)

Step 4: Deploy to Firebase Hosting

npm run build
firebase deploy --only hosting

📁 Repository Structure

.
├── docs/
│   └── claims-ledger.md         # Internal verification ledger for all public claims
├── public/
│   ├── peter-van-beek-resume.pdf # Downloadable PDF résumé
│   ├── robots.txt               # SEO indexing rules
│   └── sitemap.xml              # XML sitemap
├── src/
│   ├── components/
│   │   ├── Header.tsx           # Sticky nav with résumé download CTA
│   │   ├── Hero.tsx             # Typographic hero & proof points
│   │   ├── InteractiveArchitecture.tsx # Signal-to-System SVG visual
│   │   ├── FlagshipWork.tsx     # Evidence-backed case study breakdowns
│   │   ├── ExpertiseGrid.tsx    # Proof-backed technical stack grid
│   │   ├── ResearchPublications.tsx # Selected papers, open-source C++, patents
│   │   ├── ExperienceTimeline.tsx # Career history & Delft Ph.D. background
│   │   └── ContactFooter.tsx    # 1-click email copy, LinkedIn, footer
│   ├── data/
│   │   └── portfolioData.ts     # Typed portfolio content data
│   ├── App.tsx                  # Main app assembly
│   ├── main.tsx                 # Entry point
│   └── index.css                # Precision Lab CSS design system
├── firebase.json                # Firebase Hosting static configuration
├── .firebaserc.example          # Firebase project config template
├── package.json
└── vite.config.ts

🔒 Confidentiality & Accuracy Guarantee

  • No proprietary employer metrics, unverified benchmark numbers, or confidential code names are published.
  • All public claims strictly adhere to the internal claims ledger at docs/claims-ledger.md.

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