Jason R.

Have an AI project that needs to actually work in production, not just look good in a demo? I'd love to hear about it.

I architect the kind of AI systems that teams rely on every day: autonomous agents that run your operations, RAG pipelines that give you real answers from your own data, voice interfaces that handle client intake in real time, and AI video and content engines that produce at scale. My clients span tech, legal, finance, medical, and media, and what connects them is a need for AI that performs reliably under real constraints.

What I Build:

Autonomous Agents & Multi-Agent Orchestration

Stateful AI agents with conditional routing, graph-based workflows (LangGraph), and tool-calling architectures designed for production workloads. I build with safety and governance from day one: human approval loops, strict compliance guardrails (HIPAA/COPPA), and containerized execution to keep your agents predictable and under control. Whether you're inspired by what you've seen from OpenClaw or need something more controlled and enterprise-ready, I can help you architect the right solution. Example: a Clinical Dispatch Agent handling patient intake, lead qualification, and live CRM updates end-to-end.

High-Fidelity RAG & Context Engineering

Beyond basic vector search. I apply context engineering and advanced prompt engineering techniques including metadata filtering, vertical slicing, and structured retrieval to maximize signal and minimize hallucination. I work with vector databases like Pinecone, Qdrant, and pgvector alongside Supabase and PostgreSQL for hybrid storage. The goal is audit-grade precision, not "good enough" answers. Example: a GovTech Opportunity Analyzer on AWS that synthesizes federal contract requirements with high accuracy.

Real-Time Voice & Multi-Modal AI

Low-latency voice and vision interfaces built on Retell AI, LiveKit, Twilio, ElevenLabs, Deepgram, and Gemini. I handle the full stack from speech-to-text through intent processing to response generation, deployed on infrastructure like Next.js, Vercel, and Supabase for fast, reliable performance. Example: a 3D voice-powered learning companion for children featuring real-time adaptive mentoring, long-term memory, and COPPA-compliant safety, architected from zero to production.

AI-Powered Video & Content Pipelines

End-to-end content automation that orchestrates across the current generation of models (Kling, Sora, Veo, LTX-2, HeyGen, WaveSpeed), routing each task to the right model based on quality, cost, and use case. My pipelines handle everything from web scraping and script generation to video sourcing, voice synthesis (ElevenLabs, Amazon Transcribe, Nvidia Parakeet), and brand-consistent output at scale. Example: a video engine serving 50+ publishers, automating metadata and production for 1,000+ assets monthly.