Local LLM Systems
Custom-built conversational systems using models like Mixtral and other open-source architectures, optimized for local execution and real-time interaction.
AI / ML
AI Systems That Actually Run
I focus on building AI systems that are practical, efficient, and usable — not theoretical demos.
Overview
Everything I design is built to run locally or in controlled environments, with a strong focus on performance, reliability, and real-world application.
I focus on building AI systems that are practical, efficient, and usable — not theoretical demos.
RAG (Retrieval-Augmented Generation)
Document-aware systems that combine structured data with AI reasoning — enabling smarter responses grounded in real information.
Automation & Intelligence Layers
AI isn’t useful without context. I build systems that integrate AI into workflows, decision-making, and automation pipelines.
Real-Time Assistants
Voice, text, and event-driven assistants designed to operate live — reacting to input and providing feedback instantly.
The goal isn’t to “use AI.” The goal is to build systems that think, respond, and assist in meaningful ways.