Craig A. Stueber

Resume

Engineering systems from idea to production.

Lead Forward Deployed Engineer and Applied AI Engineer with 10+ years of experience building and shipping production systems end to end in complex enterprise environments.

I own the full lifecycle of AI in production, from ambiguous operational requirements through architecture, integration, evaluation, and deployment. My work focuses on turning fragmented enterprise systems into reliable AI products and platforms.

I am also a doctoral researcher in AI safety, focused on why AI systems break in real deployments and how to build systems that don't.

Experience

Professional Experience

June 2026 – Present

Remote

Cigna Healthcare

Lead Forward Deployed Engineer

Contract

  • Lead a team of Forward Deployed Engineers building an enterprise AI agent marketplace, giving Cigna employees a centralized platform to discover and access approved AI agents, MCPs, tools, and internal AI capabilities.
  • Architect integrations spanning 12+ programming languages and technology stacks, unifying fragmented AI tooling into a single enterprise marketplace and source of truth.
  • Partner with engineering teams and internal stakeholders across the enterprise to standardize how AI tools are surfaced, integrated, documented, and made available for employee use.

Jan 2025 – June 2026

Richmond, VA

Berkshire Hathaway Energy

Senior Full Stack Engineer, AI Systems Integration

  • Led a team of 6 engineers building a next-generation enterprise platform managing natural gas scheduling and operational workflows, transitioning $100B+ in annual energy movement from on-prem to cloud.
  • Built and owned full-stack features end to end using Next.js, Java, MongoDB, and Azure to support gas flow scheduling, hourly quantity tracking, critical notices, and user preferences, saving the company 10K+ hours monthly on operations.
  • Managed an early-stage R&D initiative and designed a 6-agent LangGraph pipeline for enterprise data understanding, decreasing business stakeholder analysis time by 90%.
  • Architected LangSmith-based evaluation pipelines to detect LLM behavioral regressions before model or prompt updates, decreasing debugging times by 80%.
  • Gathered requirements from business stakeholders and end users, presented architectural progress to leadership, and justified tradeoff decisions, delivering the project 25% earlier and saving $600K on expenses.
  • Led enterprise-wide GitHub Copilot deployment across 200+ engineers and established behavioral guardrails and governance practices to reduce AI-introduced defects in production codebases.

Oct 2021 – Jan 2025

Richmond, VA

Sauer Brands

Software Engineer, LLM Integrated

  • Served as sole engineer across 6 independent brand teams and built customer-facing applications from 0 to 1 in direct collaboration with brand managers and third-party marketing partners, delivering 140+ features.
  • Designed, shipped, and owned full product delivery for consumer-facing React and Supabase applications across 6 brands, including a voting platform with 30K+ active users, event discovery, fan engagement tools, sweepstakes systems, and e-commerce storefronts.
  • Built LLM-integrated pipelines for classification, summarization, automated routing, data ingestion, caching, PostgreSQL and Redis retrieval layers, and controlled prompt A/B evaluations, saving the IT team 180+ hours monthly on customer processing and analysis.

Jan 2021 – Oct 2021

Richmond, VA

Talos IoT

Full Stack Engineer, ML-Enhanced

  • Integrated ML models for time-series anomaly detection and classification into backend services to identify sensor abnormalities and operational risks.
  • Built real-time IoT monitoring dashboards with React, Python, and WebSockets and translated ML outputs into actionable insights for technicians and field operators.

Jul 2019 – Jan 2021

Richmond, VA

Kurb Media

Front-End Engineer

  • Delivered 50+ client projects across React, PHP, WordPress, Shopify, and vanilla HTML while managing requirements, tradeoffs, and delivery timelines with stakeholders, delivering 100% of client projects on time.

Jun 2017 – Jul 2019

Richmond, VA

Freelance

Front-End Engineer

  • Built and delivered 10+ full-stack web applications for clients in the publishing, real estate, and nonprofit industries while owning requirements, scoping, and delivery, securing 100% of clients through word-of-mouth referrals.

Selected Project

CodeRisk Advisor

Production multi-agent security review system deployed on Google Cloud Run with a Next.js frontend on Cloudflare Pages.

The system orchestrates five specialized agents: VulnScanner, BehavioralRisk, Skeptic, Remediation, and Synthesizer, using a hub-and-spoke LangGraph architecture.

It integrates OpenAI and Anthropic APIs across an OWASP Top 10 and CVSS 3.1 analysis pipeline with real-time SSE streaming and adversarial false-positive review.

Python · FastAPI · LangGraph · OpenAI API · Anthropic API · OWASP · CVSS 3.1 · Next.js · TypeScript · Cloudflare Pages · Google Cloud Run

Visit CodeRisk Advisor

Research

Evaluating the Security of AI-Generated Code

A quantitative study using a custom scoring framework.

My doctoral research develops a hybrid vulnerability scoring framework combining OWASP, CVSS, and LLM-specific behavioral metrics.

The research examines why large language models produce insecure or unreliable code, how those risks can be measured systematically, and how structured prompting frameworks reduce vulnerability rates in production-deployed systems.

Education

Education

National University

Doctor of Philosophy

Specialization in AI Safety, Behavioral Reliability, and Security in AI-Generated Code

Strayer University

Master of Science in Information Technology

Concentration in IT Management & Information Security Management

Strayer University

Bachelor of Science in Information Technology

Technical Skills

Tools & Systems

AI Systems

LLM PipelinesAgentic Workflow DesignMCPPrompt ArchitectureConstrained GenerationRAG & Vector SearchLangChainLangGraphCrewAILangSmith

Languages & Frameworks

PythonJavaScriptTypeScriptHTMLCSSTailwindReactNext.jsNode.js

Databases & Cloud

PostgreSQLMongoDBRedisREST APIsAzureCloudflare WorkersSupabase

Deployment & Field Delivery

Customer-Facing Implementation · Requirements Translation · Stakeholder Communication · Technical Scoping · 0-1 Product Delivery

Evaluation & Safety

Behavioral Regression Detection · Drift Analysis · Prompt A/B Testing · Failure Mode Analysis · AI Governance

Get In Touch

Interested in the work behind the books?

For professional inquiries, research conversations, media, or other questions, you can reach me through the contact page.

Contact Me