I build AI systems that actually work.
Agentic workflows, LLM applications, RAG, voice AI, and backend infrastructure built from research to working systems.
What I build
Pick a problem. See what I can build around it.
AI Agents
Build an agent that can actually do the work.
Voice and chat agents that talk to customers, look up availability, qualify leads, and perform tasks in your systems 24/7.
Projects
Agentic systems, retrieval pipelines, and AI infrastructure built around real engineering constraints.
Forge — Coding Agent Runtime
Persistent runtime for reliable AI coding agents with controlled tool execution, workspace policies, persistent state, verification, and execution trajectories.
Procurement Intelligence AI
Document intelligence pipeline for messy procurement data with parsing, OCR, structure-aware chunking, metadata enrichment, retrieval, and provenance.
Hackathon Intelligence Agent
Bounded, token-efficient agentic research system that plans targeted searches, executes cached research, compacts evidence, and synthesizes validated results.
RealEstate AI Sales OS
Stateful multi-agent workflow engine that orchestrates the real estate sales lifecycle through a directed graph with checkpoint-based persistence, MCP tool abstraction, and human-in-the-loop interrupts.
AI systems work best when they fit the software around them. Integrate, don't isolate.
I build AI workflows around existing APIs, databases, messaging systems, webhooks, and operational tools instead of treating the model as the whole product.
Have a problem worth building around?
Tell me what you're trying to solve. You don't need a finished spec—just what isn't working or what you wish existed.