Custom AI agents, intelligent automation, and LLM integrations that solve real business problems — not just demos.
I build AI tools that solve real business problems, not demos that look impressive in a pitch deck and collect dust in production. Every AI project I take on starts with the workflow that is costing you time or money, then I design a system that eliminates the bottleneck without requiring your team to learn new software or change their habits.
My work includes custom GPT agents for client-facing support, internal knowledge bases that let teams query company data in natural language, automated document processing pipelines, and intelligent lead scoring systems. I build with OpenAI, Anthropic, and open-source models depending on the use case, cost sensitivity, and data privacy requirements.
What makes my AI work different is that I handle the full stack. I do not just prompt-engineer a chatbot and hand it off. I build the interface, the API layer, the database, the hosting, and the monitoring. When something breaks at 2 AM, I fix it. When the model needs retraining or the workflow changes, I adapt it. You get a working product with a single point of accountability.
Every AI solution I deliver runs in production with real users. From closing cost calculators in real estate to automated content pipelines for aviation companies, these are tools that generate revenue or save hours every week. I focus on measurable ROI, not theoretical capability.
Built a custom AI agent that calculates accurate closing costs for real estate transactions, eliminating the guesswork that frustrates buyers and sellers. Integrates with local tax databases and lender fee schedules.
AI-powered lead scoring and routing system that qualifies incoming leads based on behavior, intent signals, and CRM data, then routes to the right team member automatically.
Automated content pipeline using LLMs to generate drafts for blog posts, market reports, and social media content based on data inputs and brand voice guidelines.