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pennyraized/README.md

Hi, I'm Penny Schiffer 👋

Principal AI Engineer & Strategist | Founder | VC & Gov't Advisor

Bridging the gap between hands-on AI engineering and strategic venture investment.

I'm a founder and venture investor who loves to build. My career has taken me from corporate strategy and boardrooms to the command line, where I now architect and code full-stack, production-grade AI systems. I believe the best strategies are informed by a deep, practical understanding of how technology is built from the ground up.

🚀 What I'm Currently Building

My primary focus is raized.ai, where I'm the hands-on architect of our AI-native platform. My work involves:

  • AI Agentic Systems: Engineering sophisticated VC AI agents to automate startup discovery and due diligence.
  • Hybrid Search & RAG: Architecting advanced Retrieval-Augmented Generation pipelines with hybrid search to ensure factual, context-aware insights.
  • Scalable Cloud Infrastructure: Designing and optimizing our entire stack on GCP and Supabase, focusing on performance, security, and cost-efficiency.

💡 Exploring on the Side

When I'm not focused on my startup, I'm always tinkering with hardware and software to solve fun, practical problems.

  • 🚁 Autonomous Drones: Programming my Tello drone with Python to experiment with computer vision and autonomous flight patterns.
  • ☀️ Smart Home Energy: Hacking together a system to connect our solar power station to the washing machine—a practical exploration into IoT and energy management.

🛠️ My Tech Stack

Python TypeScript Google Cloud Supabase Postgres React Docker

📫 Get in Touch

  • LinkedIn: linkedin.com/in/pennyschiffer
  • Investing & Advising: raized.ai
  • Ask me about: AI system architecture, technical due diligence for startups, or building in the Swiss tech ecosystem.

Pinned Loading

  1. supabase-sidecar-embedding-engine supabase-sidecar-embedding-engine Public

    Autonomous embedding engine using PostgreSQL as orchestrator. Sidecar architecture eliminates microservices while maintaining performance. Built on Supabase with pgvector, pgmq, and pg_cron. Produc…

    PLpgSQL 1

  2. supabase-rag-engine supabase-rag-engine Public

    An observable, production-ready RAG engine featuring hybrid search, relevance density metrics, and LLM-as-a-judge confidence scoring. A blueprint for building trustworthy, high-quality AI systems o…

    TypeScript

  3. content-aware-chunking content-aware-chunking Public

    An intelligent chunking system that automatically chooses between hierarchical content-aware chunking and fixed-length chunking with overlap based on document structure.

    TypeScript 1