01
2014 — 2019
Project execution foundation
Civil engineering and construction
Early engineering and construction work taught me to coordinate people, schedules, dependencies, documentation, and delivery constraints.
§01
About
/ the throughline
I’m an AI systems builder, technical program leader, and Human-Centered Computing Ph.D. researcher working at the intersection of agentic AI, product development, enterprise technology, and human-centered design.
My background spans engineering, financial services, business intelligence, enterprise technology, HCI research, and AI product development. Across those settings, I’ve learned to translate ambiguous problems into requirements, experiments, system architectures, and execution plans, then work across technical and business teams to turn them into measurable outcomes.
Today, I work on Quizzibility, an AI-powered platform for interactive learning and assessment, and draw on enterprise reporting and architecture work from DC Water. These experiences bring together hands-on implementation, LLM workflows, experimentation, data quality, and technical program execution.
The value of AI is not just in what it can do, but in how it changes what people do.
I’m focused on technical program and AI product roles where I can lead complex AI, data, and enterprise-system initiatives from ambiguous requirements through implementation, evaluation, and adoption.
How the pieces connect
A progression toward building and leading AI systems
Each chapter added a capability I now use to move complex technical work forward.
02
2020 — 2021
Customer, data, and decision systems
Banking and business intelligence
Banking and analytics work moved me closer to customer workflows, reporting, dashboards, data quality, and decision support.
03
2021 — 2023
Technical program leadership
KPMG Nigeria
I coordinated digital banking and payments initiatives across countries, vendors, technology teams, risks, roadmaps, and executive stakeholders.
04
2023 — 2025
Human-centered systems
DRIVE Lab, Clemson University
Research added depth in usability, accessibility, safety-critical systems, human behavior, experimentation, and human-machine interaction.
05
2026 — Present
AI systems and enterprise intelligence
Quizzibility and DC Water
My current work brings those threads together through LLM workflows, AI product development, enterprise reporting, architecture, requirements, and hands-on implementation.
How I work
01
Structure ambiguous problems into executable plans
02
Translate between technical, business, and user perspectives
03
Define requirements, dependencies, risks, and success measures
04
Understand systems deeply enough to challenge assumptions
05
Use data and research to guide product and program decisions
06
Build or prototype when doing so accelerates alignment
07
Keep humans, stakeholders, and real workflows in the loop
08
Drive initiatives from requirements through implementation and adoption
Where I’m headed
I’m building toward a career at the intersection of AI systems, product, and technical leadership, where human-centered thinking and disciplined execution make complex AI useful, trustworthy, and scalable.
Beyond work
Outside of AI systems and technical programs, I enjoy tennis, strength training, exploring museums and aquariums, and finding new places to learn from.