Brandon Smith

About Brandon Smith

I am a strategic operations executive who bridges the gap between complex quantitative science and enterprise scale. With over 15 years of experience across Fortune 500 leaders like Johnson and Johnson and high growth startups like Authentrics.ai, I specialize in building the systems that turn emerging technology into measurable business value.My career is defined by a rare combination of operational rigor and technical precision. I have managed 110 million dollar production portfolios and maintained 98.3 percent on time delivery rates during hypergrowth phases. I am currently translating that operational discipline into the AI sector at Authentrics.ai. In my current role, I lead the technical commercialization and quantitative strategies required to scale our platform. This includes securing a 2 million dollar pre seed raise and managing our entry into the DoD Catalyst Accelerator program.The foundation of my technical leadership is my Master of Science in Quantitative Management from Duke University. This degree provides the formal framework in machine learning, statistics, and data law that I use to lead AI orchestration. I leverage a technical toolkit including Python, Docker, Kubernetes, ONNX, and Hugging Face to ensure that our AI deployments are scalable, compliant, and architected for long term RoAI.I believe that the challenge for 2026 is not just the existence of AI, but the orchestration of it. My background in Quantitative Management allows me to lead these initiatives with a focus on governance and trustworthy systems. Whether I am working with engineers on MLOps or with VCs on fundraising narratives, my goal is to build the infrastructure that allows innovation to thrive at scale.Core Expertise: Quantitative Management and MLOps Engineering. Strategic Operations and Supply Chain Design. Venture Capital and Government Engagement. Enterprise Systems including NetSuite and SAP. Data Governance and Regulatory Compliance.Technical Stack: Python, SQL, R-Studio, Docker, Kubernetes, ONNX, Hugging Face, Tableau, and Power BI.Countries Visited: Brazil | China | Czech Republic | Colombia | England | Hong Kong | Italy | Portugal | Spain | France | Bahamas | Canada

Experience

1. Sr Director, Quantitative Science & Analytics

   Authentrics.Ai

   Mar 2025 — Present · Tampa, FL, US

   Strategic AI Infrastructure & OrchestrationDirect the architectural strategy for containerized deployment using Docker and Kubernetes to ensure enterprise-grade performance. Orchestrate core tech stacks across cloud-native and on-premise environments while leading cross-functional engineering teams via Scrum to synchronize technical output with business objectives.Model Lifecycle & Production IntegrationOversee the integration of ONNX and Hugging Face frameworks to optimize model interoperability, streamlining the transition from R&D to production-ready applications. Lead quantitative modeling and AI integration strategies that transform complex software innovations into scalable customer solutions.Capital Acquisition & Technical NarrativeSpearheaded investor readiness for a pre-seed initiative, securing $2M in funding by translating deep-tech AI capabilities into compelling VC-ready narratives. Serve as the primary technical liaison for government and regulatory engagements, navigating complex compliance landscapes to secure admission into the Catalyst Accelerator program.AIOps & Enterprise Data GovernanceArchitect AI governance protocols and MLOps pipelines prioritizing data law compliance, ethics, and risk mitigation. Oversee enterprise data ecosystems via advanced analytical modeling and predictive frameworks to ensure rigorous data integrity across all client deployments.Technical Leadership & StrategyBridge the gap between engineering and executive stakeholders by translating technical model metrics into actionable business KPIs. Design Python-based diagnostic frameworks to validate model performance, ensuring technical reliability matches commercial requirements.Operational TransformationIntegrate Lean principles into the machine learning lifecycle to optimize sprint velocity and ensure delivery of explainable AI. Leverage 15+ years in systems architecture to drive transformations at the intersection of deep-tech and commercial operations.

Education

• University of Tennessee, Knoxville

  Bachelor of Science, Business Administration; Supply Chain Management; International Business

  2007 — 2012

• UIMP Institute of Studies Abroad

  Spanish

• Duke University - The Fuqua School of Business

  Masters, Management Sciences and Quantitative Methods

Skills

• Warehousing
• Microsoft Excel
• Distribution Center Operations
• Process Improvement
• Strategy
• Analysis
• Data Analysis
• Six Sigma
• Team Building
• Management
• Kronos
• Oracle
• Transportation Management
• Supply Chain
• Warehouse Control
• Analytics
• Warehouse Management
• Inventory Management
• Communication Skills
• Lean Manufacturing
• Operational Excellence
• Leadership
• Supply Chain Management