Jack Pollard

AI-Augmented, High-Velocity Systems Architect

⚡ This entire portfolio + AI project built in <12 hours to demonstrate rapid development skills

I design and build robust, safe, and scalable AI systems by augmenting my intuitive design process with modern development practices. I turn complex AI concepts into production-ready applications in hours, not months - perfect for rapid prototyping and iterative development.

View My Workshop (GitHub)

Main Project: KidsAI (Mission Life Co-Pilot)

A foundational step toward safe, supportive AI for children in need

KidsAI Welcome Screen - Safe AI playground for children featuring ethical AI development and child-appropriate interactions
Click to view full image
KidsAI Mission Statement - Empowering creativity through ethical AI for kids with safety-first design principles
Click to view full image

🎯 **Mission-Driven Development**: KidsAI represents my commitment to building AI systems that serve humanity's most vulnerable populations. This project demonstrates my approach to responsible AI development with real-world impact potential.

🤖 **AI Safety & Ethics**: Every design decision prioritizes child safety, age-appropriate interactions, and transparent AI behavior. This showcases my understanding of the critical importance of safety-first AI development, especially for vulnerable users.

🧠 **Technical Foundation**: The implementation demonstrates full-stack AI application architecture, including safe content generation, user experience design for children, and scalable system architecture that can grow with evolving AI capabilities.

🔧 **Anthropic Integration Vision**: The platform is architected specifically for Claude API integration (To be added), representing my vision for how Anthropic's safety-focused AI can be responsibly deployed in educational and developmental contexts for children.

Explore KidsAI Implementation →

Ethical AI & Safety Architecture Case Studies

Explore comprehensive case studies showcasing ethical AI development, AI for kids safety protocols, and rapid AI prototyping methodologies. Each project demonstrates responsible AI practices and innovative solutions for complex challenges.

The LLM Guardian Cluster
A foundational whitepaper on a distributed, multi-agent architecture for ensuring AI safety and reliability. This ethical AI framework demonstrates advanced AI prototyping techniques for building responsible AI systems with robust safety mechanisms.
In the workshop (GitHub)
KidsAI Safety Architecture
A proof-of-concept for building ethical AI systems worthy of a child's trust. Features a two-stage guardian pipeline, stateless design, and safety-by-design architecture that eliminates attack surfaces rather than filtering them. Demonstrates AI for kids development with comprehensive safety protocols.
In the workshop (GitHub)
The Medical Guardian
Architectural plan for a secure, HIPAA-compliant AI system for medical data analysis and diagnostic support. Showcases ethical AI development practices in healthcare with emphasis on privacy, safety, and responsible AI deployment in sensitive environments.
In the workshop (GitHub)
JP

My Journey: Forged in Chaos, Focused on Stability

My path to technology wasn't linear or formal. It was a decade-long, self-directed apprenticeship driven by necessity and a deep-seated need to build. It started with Minecraft modding and Discord bots and evolved through web architecture and blockchain, all while working demanding manual labor jobs.

Growing up in a chaotic environment taught me two invaluable lessons that no university could:

  1. How to find the single point of failure in any system. My survival instinct became my red-teaming instinct. I learned to take nothing at face value and to instinctively search for the hidden vulnerability.
  2. How to build something stable and reliable from scratch. When you have no safety nets, you learn to weave your own.

When modern AI arrived, I realized it wasn't just another tool. It was a force multiplier for my mind—a way to translate my rapid, intuitive thinking into the formal, robust language of systems architecture.

My Workflow: The AI-Augmented Architect

I felt like an imposter because I don't store every framework and API in my head. I now know my strength isn't in memorization; it's in orchestration. I've pioneered a personal workflow that turns me into a one-person design firm.

My process is a tight, rapid loop:

  1. Conceptualize: A high-velocity idea for a system.
  2. Blueprint: Use my AI toolset to instantly draft a V1 architectural plan.
  3. Critique: Feed that blueprint into my own custom-built AI "Senior Architect" for an immediate, ruthless, and insightful review.
  4. Iterate: Refine the design with expert-level feedback in minutes, not months.

The VelocityAI Architecture Reviewer on my GitHub is a tangible product of this exact workflow. I don't just use tools; I build meta-tools that improve the very process of creation.

My Mission: The Life Co-pilot

My work became deeply personal when my son was born. I saw his future and the world of AI he would inherit, and my mission crystallized.

My ultimate goal is to apply my skills to build what I call the "Life Co-pilot"—a verifiably safe, factually grounded, and deeply supportive AI companion for children growing up in adversity. It's an AI designed to be the stable, encouraging voice that many, including myself, never had.

This is the reason I am so fiercely dedicated to AI safety. The systems we build must be worthy of the trust our children will place in them. This is more than a career for me. It is the work I was built to do.

If you are working on hard problems that require a different way of thinking, I would love to connect.

Get In Touch

Ready to discuss your next project or have questions about cybersecurity? I'd love to hear from you.

Or reach out directly: jack@coderandom.com