I'm Andrew.

As the Lead AI/ML Engineer at General Atomics, I lead the enterprise AI program and serve as the organization's subject-matter expert on LLMs — designing, building, and shipping secure generative-AI platforms that transform company operations.

• Avoided $15M/yr in spend with an in-house, DoD-compliant enterprise AI chatbot (AWS Bedrock, Azure AI Foundry, LiteLLM) — now serving 5,000+ monthly and 1,000+ daily active users.
• Achieved 4x workflow efficiency for 10,000+ users with a self-service RAG platform built on Azure AI Search, AWS RDS PostgreSQL, and Python.
• Cut technical order development time by 40% with agentic search and generation powered by GraphRAG on Amazon OpenSearch, Amazon Neptune, and AWS Bedrock.
• Cut deployment time from days to minutes through infrastructure-as-code with Terraform/Terragrunt and GitHub Actions CI/CD.
• Eliminated 90% of manual processing across key workflows with autonomous multi-agent systems built on Azure Durable Functions, Python, LangGraph, Semantic Kernel, and the Claude SDK.
• Boosted developer productivity by 30% by rolling out AI development tools and integrating them into the SDLC while maintaining security and trustworthiness.

As a Systems Administrator, I modernized the company's IT infrastructure — bringing DevOps and Agile practices to automate, innovate, and quickly generate value for 15,000+ end users.

• Automated software request and deployment processes for endpoints using JFrog Artifactory.
• Replaced a manual iOS app build and signing process with GitLab CI/CD, cutting build and signing time from hours to minutes.

As an IT Strategic Analyst, I wore three hats — helpdesk, systems administrator, and automation engineer — anticipating end-user needs and shipping durable solutions that automated the IT function from the inside.

• Reduced onboarding and offboarding time by 90% by automating account provisioning across all company applications.
• Implemented a centralized MuleSoft API management system, improving API discoverability, security, and auditability.
• Developed internal tools using Python and JavaScript that significantly improved team efficiency.

At Reynolds & Reynolds, our clients were car dealerships across the country. I audited dealership compliance across local, state, federal, and corporate authorities and advised clients on marketing strategy.

• Managed a territory of 100+ clients generating $1M+ in annual sales.
• Resolved compliance failures quickly and advised clients on preventing future violations.
• Supported client marketing strategy and content creation alongside the compliance practice.