Bruce Stagbrook de Clairmont

Summary

For over a decade, I've focused on architecting software that is not just functional, but also robust, scalable, and provably correct. I enjoy bridging the gap between complex theory and practical application—whether that means engineering AI-powered fraud detection platforms or prototyping new frameworks for automated code generation. I'm driven by the challenge of building the next generation of truly intelligent and reliable technology.

Core Competencies

Systems Architecture: AI/ML Integration, Cloud-Native Design (AWS), Formal Methods & Verification, API Design (REST), System Scalability & Security.

AI & Machine Learning: Fraud Detection Models, Natural Language Processing (NLP), Agent-Based Systems, Lightweight Model Deployment.

Software Development: Java (Spring, Hibernate), Python, C#, JavaScript/TypeScript (Angular), Full-Stack Development.

Leadership & Vision: Conceptual Development, Research & Prototyping, Technical Mentorship, Cross-Functional Collaboration.

Professional Experience

Stagbrook Tech

Corte Madera, CA

Independent Consultant / Systems Architect

September 2023 – Present

Provided consulting focused on AI systems architecture and proof-of-concept development. As part of this work, I designed and prototyped "Project 42," a framework for generating verifiable software from high-level descriptions. This research was awarded a Google AI Innovators Grant.

Guardian Analytics (a NICE company)

Salt Lake City, UT

Software Architect & Engineer

May 2019 – September 2024

Engineered and deployed AI-powered fraud detection systems that served as the core of a secure, real-time banking environment. Architected key components to enhance fraud prevention strategies, ensuring the integrity and reliability of the platform. Collaborated with data science teams to integrate and operationalize machine learning models.

Western Governors University

Salt Lake City, UT

Software Engineer, Cloud Solutions

July 2017 – May 2019

Spearheaded the architecture of a scalable, cloud-native AWS platform for orchestrating mass communications to students. Led full-stack development efforts (Angular, Java Spring) to build intuitive web applications and robust RESTful APIs.

Additional Foundational Experience

2011 - 2017

Built a diverse skill set across multiple domains, including 3D avatar/VR integration (Morph3D), front-end modernization (1-800 Contacts), SaaS telephony (inContact), and HIPAA-compliant web applications (Dark Sol Studio).

Education & Publications

Master of Computer Science (Formal Verification)

University of Utah, 2014

Bachelor of Computer Science

University of Utah, 2013

Key Publications & Awards

Publication: "Active Testing and Large-Scale Non-Determinism Control Studies..." Supercomputing 2013.
Contribution: Microsoft Research Contributor (2013) to the Z3 Prover project.
Award: 1st Place Team, Little FE Student Cluster Competition, Supercomputing 2012.