Brandy Guillory, MOT
Chief Technology Officer | AI Engineer & Strategist
Workforce Intelligence Group
I help organizations modernize their technology platforms, adopt AI responsibly, and accelerate performance through intelligent automation and enterprise-grade engineering.
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About the CTO
About Brandy
Brandy is an AI Engineering and Technology Transformation leader who specializes in building scalable AI systems, modernizing enterprise platforms, and guiding organizations through responsible adoption of advanced technologies. She blends deep engineering expertise with strategic insight, helping clients innovate faster, operate more efficiently, and unlock new competitive advantages.
Her work spans predictive modeling, generative AI, LLMs, architecture design, cloud modernization, and enterprise automation. With a career delivering high-impact solutions for complex financial institutions and global enterprises, Brandy brings a proven ability to translate emerging technologies into measurable business outcomes.
Core Philosophy: I build intelligent, scalable systems that turn AI, architecture, and engineering excellence into measurable business impact.
What I Do (Services Overview)
How I Help Organizations
I partner with enterprises to design, deploy, and operationalize the next generation of AI-driven systems. My consulting work focuses on:
AI Engineering & Applied Machine Learning
  • Designing and deploying ML/LLM systems
  • Fine-tuning and optimizing models
  • Implementing RAG pipelines and semantic retrieval
  • Building agentic workflows and intelligent automation
Enterprise Architecture & Platform Modernization
  • Modernizing cloud, data, and application platforms
  • Eliminating scalability, reliability, and integration blockers
  • Designing hybrid and multi-cloud architectures
  • Refactoring legacy systems for modern engineering needs
AI Strategy & Operating Models
  • AI readiness assessments & strategic roadmaps
  • Governance, evaluation, and responsible AI frameworks
  • Risk mitigation, compliance alignment, and model lifecycle design
  • Building internal capability through coaching and technical leadership
Top Skills
AI Engineering
  • Predictive modeling, anomaly detection, clustering
  • Generative AI, LLM orchestration, agent systems
  • Prompt engineering & fine-tuning (InstructLab, PEFT)
  • RAG architectures & vector search
  • ModelOps: evaluation, monitoring, governance
Software Development
  • React, Node.js, Python (FastAPI, Flask)
  • Microservices, REST, GraphQL, API design
  • PostgreSQL, MySQL, data modeling
  • Docker, Kubernetes, OpenShift
  • Scalable system design & integration patterns
Technology Transformation & Strategy
  • Enterprise AI architecture
  • Platform modernization & cloud engineering
  • Automation of core business operations
  • Organizational capability building
  • Strategic planning for AI adoption
Consulting Approach
How I Partner With Organizations
My approach combines deep engineering expertise with strategic clarity. Every engagement is grounded in four principles:
  1. Architecture Before Execution I ensure every solution begins with a scalable, secure, and resilient architecture aligned to business goals.
  1. Responsible AI by Design I integrate governance, transparency, evaluation, and risk controls from the beginning to ensure safe, compliant adoption.
  1. Modernization With Measurable Impact Cloud, data, and platform modernization efforts are tied to operational efficiency, cost reduction, and performance improvements.
  1. Co-Creation With Your Teams I embed with engineering, data, and business teams to transfer knowledge, strengthen capability, and ensure lasting adoption.
Engagement Models
Ways to Work With Brandy
Strategic Advisory
Guidance for executives and technical leaders on AI strategy, platform modernization, governance, and enterprise transformation.
Architecture & Solution Design
End-to-end design of AI systems, automation frameworks, modernization roadmaps, and cloud/platform architecture.
Hands-On Engineering
Model development, fine-tuning, RAG pipelines, agentic workflows, API and microservice development, and platform engineering.
Capability Building
Coaching engineering and data teams, upskilling staff, refining organizational operating models, and strengthening internal competency.
Fractional CTO Services
Ongoing technical leadership for organizations that need executive-level guidance without a full-time CTO commitment.
Industries & Clients Served
Industries I Support
  • Financial Services & Banking
  • Insurance & Risk Management
  • Public Sector & Government
  • Technology & SaaS Organizations
  • Talent, Workforce, and Learning Platforms
  • Healthcare & Regulated Industries
Types of Clients
  • Enterprise organizations navigating AI transformation
  • Mid-market companies modernizing legacy systems
  • Startups building scalable AI-native products
  • Firms needing governance, compliance, or risk frameworks
  • Teams seeking architecture leadership or system redesign
Our Impact Framework
Every successful engagement follows a structured approach to ensure clear objectives, strategic solutions, and measurable outcomes. This framework guides our partnership to deliver tangible value.
Challenge
Organizations often face complex challenges integrating cutting-edge AI, modernizing legacy systems, or defining clear AI strategies. They struggle with scalability, data governance, and achieving tangible ROI from technology investments.
Solution
I design and implement bespoke AI engineering solutions, from LLM integration and RAG pipelines to cloud-native architectures. My approach ensures responsible AI adoption and robust, scalable platforms tailored to specific business needs.
Impact
Results include significant operational efficiencies, accelerated time-to-market for new products, enhanced decision-making through predictive insights, and increased competitive advantage. We translate technological innovation into measurable business outcomes.
Case Study - AI-Driven Operational Efficiency for a Financial Services Organization
Challenge
A national financial institution struggled with high operational workload across key service functions. Processes were manual, inconsistent, and difficult to scale. The organization needed AI-driven automation that reduced cost, improved accuracy, and accelerated service delivery.
Solution
Brandy designed and deployed end-to-end AI systems including predictive models, workflow automations, and intelligent decisioning. She built the architecture, integrated model governance, and partnered with engineering teams to operationalize the solutions across multiple business units.
Impact
Reduced process cycle time across targeted workflows, Lowered operational cost and improved resource allocation,Increased accuracy and consistency of service outcomes,Created AI foundations the organization later scaled across new departments
This initiative reshaped how the institution approached automation, becoming a model for subsequent AI adoption.
Experience & Background
With 16.5 years of engineering and transformation leadership at IBM, Brandy brings a rare blend of deep technical expertise and enterprise-scale strategic execution. She has delivered AI platforms, cloud modernization programs, intelligent automation frameworks, and governance models that have reshaped how global financial institutions and large enterprises operate. Her work spans more than 70 enterprise teams and has consistently improved performance, reduced operational complexity, and accelerated innovation at scale.
As a CTO and AI Engineering leader, Brandy is known for designing architectures that endure, operationalizing advanced AI systems, and eliminating the technical and organizational barriers that slow transformation. Her approach combines hands-on engineering credibility with clear strategic direction, enabling C-suite and engineering teams to adopt AI responsibly, modernize critical platforms, and unlock measurable business value.
Her foundation was built in software engineering, mainframe systems, product development, and QA leadership—managing large-scale migrations, stabilizing mission-critical environments, and driving product evolution. This depth gives her an uncommon ability to diagnose complex technical landscapes and redesign them for scale, reliability, and long-term growth.
Today, Brandy applies this full spectrum of experience to help organizations modernize with confidence, build AI systems that matter, and execute transformation strategies with precision, accountability, and technical excellence.
Education
New York University - Polytechnic School of Engineering
Master of Science (MS), Management of Technology · (2014 - 2016)
Grambling State University
Bachelor of Science (BS), Computer Science · (2005 - 2009)
Honors-Awards
Q1 Client & Partner Success Award - 2025
Recognized for delivering exceptional client impact and driving successful outcomes across complex, high-visibility engagements.
Eminence and Excellence Award-2019, 2021
Awarded for thought leadership and advancing innovative AI and automation practices adopted across global teams.
Manager's Choice Award - "Unite To Get It Done Now!" (7 awards: 2014–2018)
Honored multiple times for outstanding delivery, collaboration, and leadership across major engineering and transformation projects.
Heavy Hitter Award & Internal Service Award & Outstanding Customer Service
Acknowledged for resolving high-volume, mission-critical technical issues with speed and precision while elevating overall customer experience.
IBM Thanks Award
Recognized for exceptional contributions that significantly improved product stability, performance, and client satisfaction.
Certifications
Technical Specialist Profession Certification - Thought Leader (Level 3)
Recognizes technical leaders who deliver innovative, high-value solutions that meet complex client requirements. Thought Leaders remove implementation barriers, ensure client satisfaction, and provide strategic direction across multi-business, multi-geography environments.
The Open Group – Professional Certification: Level 3 Distinguished Technical Specialist
Awarded to senior technologists who lead complex, high-impact projects, applying deep industry knowledge to solve critical business and technology challenges. Distinguished Specialists drive innovation and deliver expertise effectively across multiple business units and global organizations.
IBM/Coursera - Data Science Professional Certificate
Demonstrates applied proficiency in data science using real-world techniques, including Python development, SQL, data visualization, applied statistics, and machine learning model construction and evaluation.
IBM Certified App Developer - Watson Certification
Validates expertise in designing and developing AI-driven applications using IBM Watson services, including intent modeling, dialog design, and enterprise-grade cognitive workflows.
Architectural Thinking Certification
Certifies the ability to design repeatable, consistent architecture processes and communicate complex technical concepts through shared frameworks, enabling architects and technical leaders to collaborate effectively across IT organizations.
Project Management Professional (PMP)®
Recognizes globally-standard mastery of project management principles, demonstrating the ability to initiate, plan, execute, monitor, and close complex projects using proven methodologies across industries.
STAR Leadership
Highlights leadership excellence through understanding personal leadership style, navigating IBM’s toughest challenges, communicating across diverse teams, and shaping business strategy while accelerating organizational and personal growth.
Mckinsey - Management Accelerator / Leadership Academy
Completed McKinsey’s Management Accelerator program focused on strengthening adaptability, strategic problem-solving, influence, and execution skills to drive impact and lead effectively in dynamic business environments.
IBM Recognized Teacher/ Educator
Acknowledged for deep subject-matter expertise and the ability to effectively teach, mentor, and transfer complex technical skills. Recognized for enabling learners to apply concepts in real-world scenarios and successfully leverage the material to improve performance and outcomes