AI Product | Applied AI | Technical Operations
I build practical AI products and systems that turn operational problems into working software. My background spans business operations, IT infrastructure, product development, and applied AI, which shapes how I approach new products: start with the problem, define the workflow, then build the smallest reliable system that solves it.
I am especially interested in AI agents, grounded generation, retrieval systems, developer tooling, and workflows that make AI more useful in real operating environments.
AI-powered code review system for GitHub pull requests. Ternary combines isolated sandbox execution, test evidence, repository context, and model analysis to publish structured review findings back to GitHub.
AI-assisted grant application software for nonprofit organizations. Granted uses hybrid retrieval, pgvector, embeddings, source-grounded generation, citation validation, and unsupported-claim detection to help teams draft responses from their own organizational knowledge.
Native iOS sermon note-taking and sermon intelligence product combining audio recording, timestamped notes, transcription, AI-assisted summaries, and cloud synchronization. Currently in pre-release testing with approximately 15 active testers.
Model-agnostic operating framework for reliable AI-assisted software development. Ratchet uses repository-level operating contracts, durable project state, decision history, verification gates, and escalation rules so agents can continue work without depending on conversation history.
Independent product studio and portfolio for my applied AI, automation, and software projects.
- AI product strategy and 0-to-1 product development
- AI agents and durable agent workflows
- Retrieval-augmented generation and grounded generation
- Model evaluation and reliability
- Workflow automation and systems integration
- Native iOS and web product development
AI: OpenAI, Anthropic Claude, Gemini, OpenRouter, Hugging Face, RAG, embeddings, hybrid retrieval
Development: TypeScript, Python, Swift, SwiftUI, React, Next.js, Express.js
Data & Infrastructure: PostgreSQL, pgvector, Supabase, Redis, AWS, Vercel, GitHub