Voice AI Systems
Real-time voice agents and conversational systems designed for production contexts, from telephony orchestration to low-latency interaction design.
I build production-grade AI systems, voice agents, and intelligent automations.
AI systems across voice, workflow, product, and backend layers, designed to be useful, reliable, and ready for real-world constraints.
A map of the systems I design and ship.
Real-time voice agents and conversational systems designed for production contexts, from telephony orchestration to low-latency interaction design.
Product-facing AI tools and LLM workflows shaped into usable software with strong UX, clear scope, and practical implementation constraints.
Internal automations, operational workflows, and AI-assisted tooling that reduce manual work and connect business processes to real systems.
The backend systems behind applied AI products: APIs, persistence, integrations, runtime architecture, and data flows built for reliability and scale.
I work on AI systems that need to be useful in practice , not just interesting in a demo. Most of my work sits at the intersection of product thinking, backend engineering, and real implementation constraints.
Most collaborations fall into three formats.
For founders and teams who need a working product, prototype, or internal tool , with clear scope, solid architecture, and implementation that can actually go somewhere.
New product ideas, internal tools, early-stage pilots, and applied AI concepts that need to become real software.
A scoped build with clear technical direction, product logic, and a real deliverable you can test, use, or build on.
For teams that want to reduce manual work, connect scattered systems, or turn repetitive processes into something more reliable and easier to operate.
Internal operations, repetitive tasks, AI-assisted workflows, system integrations, and operational tooling.
A clearer workflow, connected systems, and an implementation plan or build that fits how the business actually works.
For teams already building and needing a sharper technical path , whether that means validating system design, making implementation choices, or reviewing production constraints before things get expensive.
Architecture reviews, implementation planning, technical tradeoffs, AI product decisions, and production-readiness questions.
Clearer technical direction, stronger design choices, and a more reliable path from working prototype to production system.

Realtime AI phone agent platform for inbound business calls
Production-ready voice agent platform with low-latency speech, telephony deployment, business tool integrations, and post-call workflows.

Audio layer for agentic coding workflows
Mistral-native audio and TTS integration for an agentic coding experience, focused on voice UX, product fit, and clean delivery.
Technical deep-dives, architectural post-mortems, and notes on building robust AI systems.