David Elgueta
AWS Certified AI Practitioner & GDG Speaker specializing in Agentic Workflows and AI-Driven Productivity
Orlando, Florida, United States
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With over 25 years of experience architecting high-performance applications, I thrive at the intersection of technical depth and product discovery. My career is defined by a unique duality: I am a technical builder who has developed AI-powered workflows and an elite educator who has trained 500+ professionals, achieving a 90% average learner satisfaction rate.
I hold the AWS Authorized Instructor (AAI) Champion status, the highest tier recognized by AWS for exceptional teaching quality and technical expertise. My deep platform fluency led to my selection as an AWS Subject Matter Expert (SME) to develop official certification exams, where I helped write and evaluate the standards for global AWS certification programs.
Today, as a Senior Technical Communicator and AI Product Contributor, I lead the discovery and design of AI Assistants and autonomous workflows. I don't just talk about AI; I build it:
- Agentic Workflows: I design and prioritize feature backlogs for integrated AI Assistants across DCM, BI, and Knowledge-Base products.
- Prompt Engineering: I developed a prompt-engineered RFP response toolkit that enabled a 50% shortlist rate.
- Community Leadership: I am an active speaker at Google Developer Groups, sharing hands-on lessons on building AI agents and demystifying prompt engineering for developer audiences.
My expertise is backed by a robust certification portfolio, including AWS Machine Learning – Specialty and AWS Certified AI Practitioner. As I expand my fluency into Azure AI, I bring a multi-cloud perspective to the challenge of leveraging company knowledge to build intelligent assistants that boost productivity and streamline enterprise workflows.
Area of Expertise
Topics
Building the Multi-Agentic AI Workforce: From Prompt Engineering to Automated Workflows
Move beyond the chat box and learn how to build a coordinated "team" of AI agents. In this hands-on lab, we will build a multi-agent system designed to handle workflows inspired by real-world applications. Leveraging Azure AI Foundry, we will transition from basic prompting to sophisticated orchestration, with a focus on accuracy, safety, and business value.
Participants will build:
- The Researcher Agent: A specialized agent using Azure AI Search and RAG (Retrieval-Augmented Generation) to extract and synthesize complex requirements from unstructured PDFs or compliance documents.
- The Analyst Agent: A governance-focused agent that utilizes Azure AI Content Safety and custom evaluation loops to audit outputs for bias, hallucinations, and alignment with responsible AI frameworks.
- The Writer Agent: A generative agent that consumes the verified data from the Researcher and Analyst to produce compliant, highly tailored professional responses.
Deliverables for your toolkit:
* System Prompt Library: A collection of production-ready persona instructions for specialized agent roles.
* Orchestration Template: A GitHub-style repository featuring an agent loop built on Python/Jupyter and Azure AI Prompt Flow.
* 1-page Governance Checklist: A practical framework for auditing AI-generated outputs to ensure reliability in high-stakes environments.
Prompt Engineering: There Are No Stupid Questions
Discover how a well-crafted prompt can unlock the full potential of generative AI models, guiding them to produce exceptional results. Learn about common pitfalls and best practices to avoid, ensuring your AI interactions are always insightful and productive.
Whether you're a seasoned AI developer or just starting your journey, this session will equip you with the knowledge and tools to become a master of prompt engineering.
Building Autonomous AI Agents: Practical Architecture from AWS to Azure
Moving beyond simple chatbots, AI Agents represent the next frontier in automation, capable of reasoning, using tools, and executing complex workflows. In this technical session, I pull back the curtain on the architecture behind modern AI agents.
Drawing from my experience as an AWS Authorized Instructor Champion and a Senior Technical Communicator, I will compare the "Agentic" capabilities of Amazon Bedrock and Azure AI Foundry
What you will learn:
- The "Reasoning" Loop
- Orchestration Frameworks
- Real-World Implementation
- Building for Reliability
Preferred Duration: 30 minutes (Technical Session).
Target Audience: Developers, Solutions Architects, and Product Managers.
Technical Level: 200–300 (Intermediate/Advanced).
Previous Experience: I have delivered similar technical content at GDG Central Florida and GDG Tampa.
Real-Life Context: My insights come from hands-on work developing AI-powered tools and workflows, including prompt-engineered toolkits.
DevFest Florida Orlando 2024 Sessionize Event
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