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Work 1:1 with an expert to go beyond basic automations and build connected, intelligent AI systems that handle complex business processes with minimal manual oversight. Possible uses of coaching sessions, but not limited to: - Designing multi-step AI automation systems - Building AI agents for complex business processes - Integrating multiple tools and data sources into AI-powered workflows - AI-powered reporting and insights automation - Building systems that improve over time with feedback and monitoring - Scaling and maintaining AI business systems reliably
Skills to design and build sophisticated, multi-step AI automation systems
Experience building AI agents that handle complex business processes autonomously
The ability to integrate multiple tools and data sources into connected AI workflows
A framework for maintaining and improving AI business systems over time
Coaching delivered via live sessions and .
Services included:
AI Fundamentals
AI Agents
AI Automation
AI Research
AI Tools & Integration
Schedule a call with a Leland team member who can help you explore your options.
Schedule a call
Get help with AI Ethics & Responsible AI, AI Research, and .

Joined November 2025
5.0
Production AI Agents at Live Nation | Databricks, MCP, & Vertex Expert
I build AI agents for real analytics environments - not demos, not proofs of concept. As Director of Business Intelligence and Analytics at Live Nation Entertainment, I've designed and shipped production agent systems that combine LLM reasoning, MCP servers, structured data querying, and document search into workflows that replace manual analytical processes. My hands-on stack includes Databricks, Gemini, Vertex AI Search, Streamlit, and custom MCP server development. I've also built open-source tooling in this space, including a video understanding MCP server using local/free models. I come from a decade-plus background in BI and data engineering, which means I understand the messy reality agents actually have to operate in - legacy data models, inconsistent schemas, stakeholder trust issues, and the gap between what LLMs promise and what they deliver in production. If you're trying to build your first agent, figure out the right architecture for your use case, or get an agent system actually adopted inside your organization - I can help you avoid the mistakes I've already made.
5h+ of coaching