AB Resume (PDF)

AI Engineer · Charlotte, NC · Open to work

Andrew Bernacki

I build AI agent systems for the enterprise: multi-agent platforms, internal tools, and the governance that makes them safe to ship.

How my agent systems are built

  1. 01Discover
  2. 02Research
  3. 03Qualify
  4. 04Screen
  5. 05Prepare

Human oversightOperational safeguardsControlled AI spend

The shape of a multi-agent lead platform I architected for an enterprise, from lead discovery through outreach preparation.

Results

3 weeks

to deliver a GPS asset-tracking proof of concept with spec-driven development, against a traditional effort of nearly a year. It moved the organization toward an AI-first development model.

10,000s

of rebill events automated with top domestic carriers, averaging over $400 each, improving revenue recovery at scale.

Governance

Set enterprise AI standards: security controls, approval processes, PII protections, prompt-injection defenses, and secure authentication.

Selected work

Internal enterprise systems, so no public code or screenshots. I am glad to walk through the design and tradeoffs in a conversation.

01 Internal

GPS asset-tracking proof of concept

Built with AWS Kiro and spec-driven development in three weeks. Afterward I was selected for an AI transformation team reporting to the CIO, and I developed the business case for broader investment in AI development platforms.

AWS Kirospec-driven developmentbusiness case

02 Internal

Multi-agent lead-generation platform

I architected and owned the pipeline from lead discovery through outreach preparation. Human oversight, operational safeguards, and controlled AI spending are built into the design.

agentic AIhuman oversightcost controls

03 Internal

AI-enabled invoice processing

A full-stack application that gives people the review and approval step for automated invoice workflows: the database, APIs, interface, and automated tests. Earlier, as an RPA engineer, I led an AI-driven invoice system that handled invoices from previously unsupported sources.

full-stackAPIsautomated testing

04 Internal

Finance RAG and workflow-to-SOP tooling

Retrieval-augmented generation for the Finance team, and an internal app that turns recorded employee workflows into AI-generated standard operating procedures.

RAGinternal tools

Experience

Direct ChassisLink Inc. (DCLI), Charlotte, NC · 2023 to 2026

Apr 2026
to Oct 2026

AI Engineer

  • Led evaluation and adoption of AI development platforms, including the AWS Kiro beta, and showed full-stack delivery in days instead of months.
  • Set enterprise AI governance and development standards: security controls, approval processes, PII protections, prompt-injection defenses, and secure authentication.
  • Built technical hiring assessments and onboarding programs to scale AI engineering.
  • Trained technical and nontechnical staff on generative AI, Microsoft Copilot agents, and Claude.

May 2024
to Apr 2026

Robotic Process Automation Engineer

  • Built and maintained enterprise UiPath automations with Studio and Orchestrator APIs for mission-critical workflows across departments.
  • Designed job-schedule monitoring that checks robot runs against plan, improving bot utilization.
  • Built Jira reporting pipelines and AWS-backed Jira and GitHub integrations that produce executive Excel reports, Confluence-ready HTML, and leadership status reports.
  • Contributed to the Bitbucket to GitHub migration.

May 2023
to May 2024

Help Desk Intern

  • Repaired and provisioned laptops and equipment, saving about $60K, and managed IT inventory and onboarding.
  • Maintained Active Directory and audited 200+ servers.

Stack and skills

Cloud and AI platform
AWSAmazon BedrockAmazon Bedrock AgentCoreClaudeMoonshot AILambdaS3IAM
AI and Agents
multi-agent systemsLangGraphRAGMCPAI governance and security
Developer stack
PythonJavaScriptTypeScriptSQLAPIsfull-stack developmentautomated testingspec-driven development
Automation
UiPathenterprise workflow automationdata integration
Delivery
GitHubJiraConfluence

Contact

Looking for AI engineering, agentic systems, and AI automation roles in the Charlotte area or remote.