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.

Local LLM Systems

Custom-built conversational systems using models like Mixtral and other open-source architectures, optimized for local execution and real-time interaction.

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RAG (Retrieval-Augmented Generation)

Document-aware systems that combine structured data with AI reasoning - enabling smarter responses grounded in real information.

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Automation & Intelligence Layers

AI isn't useful without context. I build systems that integrate AI into workflows, decision-making, and automation pipelines.

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Real-Time Assistants

Voice, text, and event-driven assistants designed to operate live - reacting to input and providing feedback instantly.

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The goal isn't to use AI. The goal is to build systems that think, respond, and assist in meaningful ways.