My background combines customer support leadership, technical support, billing and retention operations, contact-center technology, Amazon Connect, knowledge management, quality, coaching, training, and technical communication.
I did not begin my career as a cloud architect looking for a business problem. I came to architecture through the day-to-day realities of customer support: long queues, difficult escalations, disconnected tools, inconsistent knowledge, unclear ownership, coaching needs, billing issues, and the pressure to provide a reliable customer experience at scale.
That operating experience shaped how I think about technology. A platform is valuable only when it helps customers get answers, helps employees make better decisions, gives leaders useful visibility, and can be maintained by the organization after launch.
Over time, my responsibilities expanded from frontline technical support and customer education into team leadership, support operations, billing, collections, retention, quality, training, knowledge, workforce practices, and contact-center architecture. That progression is why I approach support improvement as a connected system rather than a software implementation.
Each stage added a different view of the support organization: the customer conversation, the agent workflow, the manager’s operating reality, and the architecture required to connect them.
Early roles included technical support, SaaS support, product education, troubleshooting, client training, and escalation handling. This work established a practical understanding of what agents need in order to resolve issues accurately and what customers experience when systems or processes break down.
At Rise Broadband and WeLink, I led technical support and broader customer operations teams. Responsibilities expanded across billing, collections, retention, escalations, staffing, service levels, quality, coaching, training, knowledge, and performance improvement.
As my scope grew, I became responsible for the technology connecting customers, agents, managers, and business systems. This included Amazon Connect, NICE CXone, CRM integrations, contact flows, analytics, automation, telephony strategy, platform administration, and migration planning.
My current work focuses on documenting and demonstrating how modern support organizations can be designed as connected operating systems. The projects on this site combine real professional experience with clearly labeled conceptual models, prototypes, and consulting-style deliverables.
I have managed support teams, managers, service levels, escalations, billing-related work, performance expectations, and the human realities of organizational change.
I understand how contact-center platforms, CRM, cases, knowledge, analytics, automation, identity, and AWS services need to work together.
New systems require knowledge, training, coaching, communication, governance, and performance support before they become sustainable operating improvements.
I use architecture diagrams, process maps, prototypes, executive briefs, training content, and visual explanations to help different audiences make decisions.
These examples reflect completed professional work. Specific outcomes are presented conservatively and separately from projected benefits in conceptual portfolio projects.
Understand the organization, customers, employees, constraints, and prior decisions before recommending change.
Explain why an approach was selected, what alternatives exist, and what the organization will need to own.
Include agents, managers, knowledge owners, trainers, administrators, and customers in the operating model.
Connect implementation measures to customer outcomes, employee effectiveness, operational health, and business value.
Some projects document capabilities and lessons grounded in completed professional work. Others are self-directed conceptual engagements created to demonstrate how I analyze, design, and communicate solutions. Conceptual projects label expected outcomes as projected, modeled, or subject to pilot validation.
A completed professional outcome.
An expected benefit that still requires validation.
An artifact showing analysis, design, planning, or communication ability.
Explore operating models, Amazon Connect architecture, AI-assisted support, knowledge management, quality, enablement, analytics, and technical communication.