I turn ambitious AI ideas into reliable, production-ready products—from architecture and agent design to integrations, deployment, and iteration.
I'm an AI Solutions Architect and full-stack software engineer focused on building useful AI systems that work in the real world. I design production RAG solutions, agentic workflows, CRM automations, and complete SaaS products—then take them all the way from concept to deployment.
I'm also the founder and lead engineer of Talkwiz.ai, where I'm building an autonomous AI sales platform that engages, qualifies, and converts leads across multiple channels.
My path from technical support and support leadership into engineering gives me a product-first perspective: I understand the operational problem, the people experiencing it, and the technology required to solve it at scale.
- AI solutions & agents — RAG, LLM integration, MCP, tool use, guardrails, evaluation, and multi-step agentic workflows
- Production automation — AI-assisted systems that resolve support cases, surface actionable insights, and reduce manual work
- Connected business systems — integrations across Salesforce, Freshdesk, Zendesk, calendars, messaging, and external APIs
- End-to-end products — architecture, backend, frontend, data modeling, real-time features, deployment, and ongoing iteration
| Product | What it does | Technology |
|---|---|---|
| Talkwiz.ai | An autonomous, omnichannel AI SDR that responds to inbound leads, qualifies prospects, handles objections, and books meetings across SMS, email, web chat, and voice. | Ruby on Rails, Hotwire, PostgreSQL, LLMs, CRM & calendar integrations |
| SubWiz.ai | Professional AI subtitle translation for movies and television, with 50+ languages, major subtitle formats, cultural localization, and video subtitle extraction. | Next.js, TypeScript, AI translation pipelines |
| Voterr.tv | An open-source, real-time voting experience that helps groups choose what to watch from a shared Plex library. View source → | Ruby on Rails, Hotwire, Plex API |
| OpenFamily.app | A privacy-first, self-hosted family location platform with live maps, geofences, location history, and safety alerts—without handing family data to a vendor cloud. View source → | Flutter, Go, WebSockets, PostgreSQL, PostGIS, TimescaleDB, Docker |
AI architecture: RAG · LLM applications · AI agents · MCP · tool orchestration · evaluation & guardrails
Backend: Ruby on Rails · Go · Python · Node.js · REST APIs · WebSockets
Frontend & mobile: Hotwire · Next.js · TypeScript · React · Flutter
Data & infrastructure: PostgreSQL · PostGIS · TimescaleDB · Docker · real-time systems
Integrations: Salesforce · Freshdesk · Zendesk · Twilio · Google Calendar · Microsoft 365 · Zapier
- Building and scaling Talkwiz.ai
- Architecting production AI solutions that connect models with real business workflows
- Owning the full journey from idea to operation while creating practical, thoughtfully designed software