AI Implementation & Strategy

From Prototype to Production

The gap between a neat AI prototype on a laptop and a hardened, production-ready AI application is massive. Many companies struggle to integrate off-the-shelf models into their existing workflows gracefully without hallucination, context limits, or massive latency spikes.

I help high-growth companies bridge this gap. As the former Head of AI at RIZZARR, I led the architectural design and implementation of highly scalable, native LLM-powered content generation systems. My approach focuses on measurable business impact—not just shiny tech demos.

Core AI Capabilities

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  Custom LLM Integration: Seamlessly embedding GPT-5.X, Claude, and open-source models into Django and React architectures.
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  RAG Pipelines: Grounding AI responses in your proprietary company data to eliminate hallucinations.
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  Prompt Engineering & CI/CD: Versioning, testing, and scaling system prompts as software artifacts.
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  Automated Document Generation: Building multi-step AI agents capable of drafting, reviewing, and formatting complex business documents.