Software Engineer Senior · Product Owner

AdamLoree

Building AI-powered platforms at Lockheed Martin. Full-stack engineer turned product owner — shipping LLMs, RAG pipelines, and enterprise SaaS to global teams.

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0
Years Engineering
$M+
Cost Savings Driven
0
Engineers Led
About Me

Engineer. Builder. Leader.

I'm a software engineer at Lockheed Martin with 4+ years building and owning mission-critical, enterprise-grade platforms. I sit at the intersection of engineering and product — turning ambiguous business problems into scalable technical solutions.

My specialty is AI/ML integration: I've shipped multiple production LLM applications, RAG pipelines, and recommendation engines that serve global distributed teams. I care deeply about the full lifecycle — from architecture decisions to CI/CD to production monitoring.

I hold dual degrees from UCF — a BS in Computer Engineering (3.9 GPA) and an MS in Engineering Management (3.8 GPA) — giving me both the technical depth and the leadership toolkit to drive cross-functional teams forward.

~/adam-loree $ profile.json
$ cat profile.json
 
{
  "name": "Adam Loree",
  "role": "SWE Senior / Product Owner",
  "company": "Lockheed Martin RMS",
  "location": "Joplin, MO",
  "focus": [
    "AI/ML Applications",
    "Distributed Systems",
    "Full-Stack SaaS",
    "Team Leadership"
  ],
  "gpa": 3.9 // BS · 3.8 MS
}
 
$
Career

Work Experience

Lockheed Martin · RMS04/2025 — Present
Software Engineer Senior, Product Owner
Joplin, MO
  • Own and drive the product vision and roadmap for a global SaaS digital transformation platform, expanding adoption from a single business area to enterprise-wide deployment.
  • Partner with executive stakeholders and customers to define priorities, align product strategy with business outcomes, and maximize ROI across global operations.
  • Lead backlog management, sprint planning, and release prioritization for a cross-functional team of 15 engineers, ensuring delivery of high-impact features on schedule.
  • Delivered 4 production AI/ML applications, including LLM-based systems and recommendation engines, supporting global users across distributed environments.
  • Led end-to-end development of 2 AI-powered chat applications using RAG, delivering on time and within budget to improve user education and knowledge discovery.
  • Define requirements and acceptance criteria for LLM-driven features, including RAG-enabled assistants that deliver accurate, context-aware insights.
  • Directed development of AI-powered self-service capabilities, reducing internal support requests by 60% while improving customer experience.
  • Own product and technical direction for a global Angular + NestJS portal with integrated recommendation systems, contributing to millions of dollars in cost savings.
  • Reduced operational costs by streamlining workflows, automating manual processes, and eliminating redundant third-party tools.
  • Operate AI applications in cloud environments, leveraging Kubernetes for container orchestration, while maintaining CI/CD and MLOps pipelines.
  • Champion secure and compliant product delivery by embedding data protection and access controls into the product lifecycle.
  • Foster a culture of collaboration and innovation through mentorship, cross-functional alignment, and introduction of emerging technologies.
AngularNestJSLLMRAGKubernetesAWSMLOpsProduct Owner
Lockheed Martin · RMS06/2023 — 04/2025
Software Engineer, Technical Lead
Orlando, FL / Joplin, MO
  • Led cross-functional teams to architect and deliver scalable, mission-critical applications using MongoDB, Node.js, and React.
  • Spearheaded design and deployment of a high-performance AI chat search utility using LangChain, ChromaDB, and Flask with RAG to enhance knowledge discovery.
  • Directed development of key user-facing features — ratings, favorites, recommendations, browsing history — leading to over 80% positive user feedback.
  • Applied SAFe® Agile practices to manage sprints and cut quarterly planning time by more than 50%.
  • Architected and maintained containerized microservices using Docker and Kubernetes in cloud-native environments.
  • Implemented and managed CI/CD pipelines with GitLab and ArgoCD, accelerating software delivery through automation.
  • Enhanced system observability using Grafana and Elasticsearch for real-time microservice monitoring.
ReactMongoDBLangChainChromaDBDockerGitLab CIArgoCDElasticsearch
Lockheed Martin · RMS06/2022 — 06/2023
Software Engineer Associate
Orlando, FL
  • Developed a MEAN stack Wikipedia-like web application for storing company processes and policies with intelligent search and recommendation capabilities.
  • Engineered full FOSS MEAN stack with near-zero cost: MongoDB, Mongoose, Express, NestJS backend and Angular with Material UI frontend.
  • Collaborated through pair design and pair programming sessions to reduce MVP delivery timeline from 8 to 6 months.
AngularNestJSMongoDBExpressMaterial UIMEAN Stack
Expertise

Technical Skills

Frontend
Angular95%
React / Next.js88%
TypeScript92%
Backend & Data
Node.js / NestJS90%
Python / Flask82%
MongoDB / Elasticsearch88%
AI / ML
LLM Integration90%
RAG Pipelines88%
LangChain / ChromaDB82%
DevOps & Cloud
Kubernetes / Docker85%
AWS80%
GitLab CI / ArgoCD85%
Academic

Education.

University of Central Florida
Orlando, FL
M.S. Engineering ManagementGPA 3.8
Dec 2024
University of Central Florida
Orlando, FL
B.S. Computer EngineeringGPA 3.9
May 2022
Let's Connect

Get In Touch

Open to new opportunities, collaborations, and conversations about AI, full-stack engineering, and product development.

adamloree@gmail.comLinkedIn