AI Solutions Engineer
Houston, Texas
AWS Certified Generative AI Developer with 8+ years delivering enterprise AI systems across energy, financial services, and healthcare. I design RAG pipelines, agentic workflows, prompt orchestration systems, and enterprise knowledge systems — translating complex business problems into scalable AI solutions.
RAG pipeline indexing 820+ operational documents with conversational search, source citations, and multi-agent retrieval. Built on AWS Bedrock, Claude Sonnet 4.6, Amazon Titan Embeddings V2, RDS PostgreSQL + pgvector, and S3.
Stack
Conversational AI copilot for vendor onboarding, purchase order workflows, storm logistics coordination, and operational summaries. Built on Microsoft Copilot Studio, Azure AI Foundry, and Power Automate.
Built and validated in Microsoft Copilot Studio
Multi-agent autonomous system for wildfire risk monitoring, situational awareness, and executive briefing generation. Autonomous background agents run nightly analysis and post to operational channels.
Three distinct AI architecture patterns across my enterprise portfolio — RAG, agentic workflow automation, and multi-agent autonomous systems.
Every answer is grounded in indexed source documents. No hallucinations.
Semantic embeddings surface contextually relevant content beyond keyword matching.
Responses are traceable to originating documents, enabling operator trust and auditability.
AI Solutions Engineer
Enterprise AI Systems & RAG Architecture
Designed and prototyped an enterprise Knowledge AI Assistant on AWS Bedrock, Claude Sonnet, Amazon Titan Embeddings, and PostgreSQL + pgvector. Built RAG pipelines indexing 1,000+ operational documents. Designed AI agent workflows, multi-agent orchestration patterns, and copilot-style experiences using LangGraph. Supported AI governance, responsible AI, and enterprise AI adoption in a regulated utility environment.
Enterprise Workflow Designer
Governance, Risk & Operational Systems
Designed enterprise workflow systems supporting governance, risk, compliance, and operational processes across large-scale financial environments. Collaborated with business and compliance stakeholders on workflow modernization and operational decision-support initiatives.
Sr. User Experience Designer
Enterprise Healthcare Systems
Designed enterprise healthcare platforms supporting large-scale clinical and operational environments. Improved workflow efficiency and decision-support experiences across healthcare enterprise systems.
User Experience Designer
Healthcare Enterprise Platforms
Supported enterprise healthcare platform modernization focused on operational usability and scalable user experiences.
Product Designer
Business Application Experiences
Designed business application experiences focused on operational efficiency, platform usability, and customer-facing enterprise tools.
The enterprise AI ecosystem I work across — from foundation models and orchestration layers to infrastructure, dev tooling, and deployment platforms.
With a foundation in UX design, enterprise systems, and digital product development, I transitioned into AI Solutions Engineering to help organizations move beyond AI experimentation and into practical business adoption.
I specialize in designing and building enterprise AI solutions that transform unstructured information into actionable business intelligence. My work spans Retrieval-Augmented Generation (RAG) systems, AI assistants, agentic workflows, prompt orchestration, enterprise knowledge platforms, and workflow automation.
Recently, I have focused on developing AI-powered operational solutions across energy, healthcare, and financial services environments, leveraging technologies such as AWS Bedrock, Claude, vector databases, Microsoft Copilot Studio, and enterprise automation platforms. My interests sit at the intersection of AI architecture, operational enablement, workflow automation, and responsible AI adoption — building systems that are reliable, grounded, scalable, and designed around real business needs.