AI Agentic Systems
Architecture.
I replace manual operations with autonomous AI pipelines.
Most tech companies slap a UI on ChatGPT. I build the backend logic. I pull LLMs out of the chatbox, architect complex DAG workflows, and build heavy RAG pipelines.
Stop scaling headcount. Scale infrastructure.
I pull LLMs out of the chatbox and build the actual backend logic. I architect complex DAG workflows and heavy RAG pipelines using strict, pure functional Node.js. No classes. No OOP bloat. Just stateless logic handling massive WebSocket traffic without dropping connections.
Proof of Work
The Brain
Designed an autonomous agentic DAG using Mastra and Gemini 1.5 Flash.
The Data
Built a RAG pipeline to dynamically fetch, contextualize, and score candidate profiles.
The Voice
Engineered a sub-800ms voice screening agent using Vapi and WebSockets.
The Result: Agent conducts technical screens and fires webhooks with scores directly to the database.
Services
AI INFRASTRUCTURE RETAINER
Direct-to-architecture integration for US and EU teams. Zero employment overhead.
AUTONOMOUS RAG/DAG PIPELINES
Dynamic data retrieval and workflow execution.
REAL-TIME VOICE AGENTS
Sub-800ms inbound/outbound voice infrastructure.
Audit Your Manual Workflows
Send me your most labor-intensive process. I will send you a 90-second Loom architectural teardown detailing exactly how a stateless Node.js pipeline replaces it.