I'm Alexandra. I build AI systems that help founders and marketing teams stop guessing and start making decisions based on what's actually happening in their data. Most businesses don't have a growth problem. They have a measurement, prioritization, and automation problem — and they're solving it manually when they don't have to. I combine a background in data analysis and performance strategy with hands-on AI engineering: building LLM-powered applications, RAG systems, AI agents, and automation pipelines using Python, LangChain, n8n, and the OpenAI and Anthropic APIs. What this means in practice: • Building RAG systems that let your team query months of campaign data, reports, or documents in plain English • Creating AI agents that automate reporting, data analysis, and performance monitoring — so insights arrive without manual work • Developing n8n + LLM automation pipelines that connect your ad platforms, CRMs, and reporting tools • Analyzing paid media, creative testing, and funnel performance to identify exactly what's driving revenue — then building systems that track it automatically • Translating complex business data into structured AI-powered reporting frameworks that simplify decisions at scale I've worked at the intersection of data analysis and performance strategy long enough to know that the best AI solution is the one that fits how your team actually operates — not the most technically impressive one. I typically work with: — Founders scaling paid acquisition who want AI-powered insight without hiring a full analytics team — Marketing and performance teams who need smarter measurement systems and automated reporting — E-commerce brands running creative testing across Meta and Google who want to move faster with better data If you're looking for someone who can both understand your data challenge and build the AI system to solve it, I'd love to hear what you're working on.…I'm Alexandra. I build AI systems that help founders and marketing teams stop guessing and start making decisions based on what's actually happening in their data. Most businesses don't have a growth problem. They have a measurement, prioritization, and automation problem — and they're solving it manually when they don't have to. I combine a background in data analysis and performance strategy with hands-on AI engineering: building LLM-powered applications, RAG systems, AI agents, and automation pipelines using Python, LangChain, n8n, and the OpenAI and Anthropic APIs. What this means in practice: • Building RAG systems that let your team query months of campaign data, reports, or documents in plain English • Creating AI agents that automate reporting, data analysis, and performance monitoring — so insights arrive without manual work • Developing n8n + LLM automation pipelines that connect your ad platforms, CRMs, and reporting tools • Analyzing paid media, creative testing, and funnel performance to identify exactly what's driving revenue — then building systems that track it automatically • Translating complex business data into structured AI-powered reporting frameworks that simplify decisions at scale I've worked at the intersection of data analysis and performance strategy long enough to know that the best AI solution is the one that fits how your team actually operates — not the most technically impressive one. I typically work with: — Founders scaling paid acquisition who want AI-powered insight without hiring a full analytics team — Marketing and performance teams who need smarter measurement systems and automated reporting — E-commerce brands running creative testing across Meta and Google who want to move faster with better data If you're looking for someone who can both understand your data challenge and build the AI system to solve it, I'd love to hear what you're working on.WWWW…