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Package Description:
Work 1:1 with an expert to build advanced prompt engineering skills, moving beyond the basics to techniques used in production AI systems, agents, and complex workflows. Possible uses of coaching sessions, but not limited to: - Advanced prompting: meta-prompting, dynamic prompt generation, structured outputs - Prompt engineering for AI agents and multi-step workflows - System prompt design for consistent, reliable agent behavior - Prompt testing, evaluation, and optimization frameworks - Prompt engineering for specific domains (code, analysis, creative, research) - Building and maintaining a reusable prompt library
What you'll get from this package
Advanced prompt engineering techniques for complex, multi-step AI use cases
Skills to design reliable system prompts for AI agents and automated workflows
A rigorous framework for testing and improving prompts systematically
A personal library of advanced prompt templates applicable across your most important work
Additional details
Coaching delivered via live sessions and .
Services included:
Prompt Engineering
AI Agents
AI Automation
AI Research
AI Tools & Integration
Talk to a team member
Schedule a call with a Leland team member who can help you explore your options.
Schedule a call
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Joined November 2025
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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.
Starting at $285
5h+ of coaching