Selected business outcomes across 15+ years of product, technology, commerce, operations, AI, data, and enterprise transformation.

My career has not been defined by one company or one technology wave. Across retail, direct sales, media, consulting, eCommerce, customer service, travel, AI, cloud, and SaaS, the pattern has remained consistent: identify friction, modernize the underlying product or platform, and connect technology decisions to measurable business outcomes.

Selected enterprise roles spanning 2017–2025. Full case studies for Priceline and Financial Data Platform are covered separately. Earlier career transformation — including Mannatech, Yes You Can / Chaban Wellness, and Frito-Lay / PepsiCo — is detailed in the Early Career Foundation section.

Modernize four global contact centers from NICE inContact to Amazon Connect, supporting 200+ agents across multiple geographies — while introducing speech-to-text, conversational automation, and improved agent tooling to create a more scalable and intelligent customer-service experience. All without disrupting live customer operations.

Three early-career transformations that established the pattern: identify the business problem, redesign the underlying system, and connect technology decisions to measurable operational and revenue outcomes.

Led migration and deployment of Mannatech's E-BIZ global back-office platform across 127 country configurations. Also supported global digital commerce, shopping-cart modernization, CRM/CMS capabilities, and international business workflows. Delivered 35% faster project-cycle velocity through improved delivery processes and project-tracking improvements.

The roles that built the foundation — operational transformation, global platform delivery, business-model change, and product instincts developed across diverse industries before 2017.

Financial information was distributed across multiple payment processors with inconsistent formats, processor-specific transaction semantics, and no unified reconciliation layer. The product challenge wasn't simply moving data — it was creating the company's first centralized financial-data capability that Finance and Operations could actually trust to make decisions.

Led product strategy, technical direction, requirements, data-model evolution, financial reconciliation framework, processor integrations, validation strategy, executive analytics requirements, and cross-functional delivery. This was the creation of the company's first centralized financial-data capability.

Access and production readiness depend on source permissions and validated business rules.

Ability to operate across the full data product lifecycle — from financial workflows, source integrations, data architecture, ETL, normalization, and reconciliation through SQL validation, Metabase dashboard construction, ThoughtSpot Liveboard creation, and CFO-level decision support.

Enterprise-scale delivery across international markets, distributed teams, and global platforms.

Four capability areas where I operate — from early discovery through scaled delivery.

I operate across the full product and technology lifecycle — from ambiguous business problem through architecture, delivery, and measurable outcomes. This is not a handoff model. I stay close to every stage.

Eight principles that shape how I approach product work — from discovery through delivery.

This isn't about using ChatGPT. AI is embedded in how I discover, define, prototype, build, and validate products — at every stage of the product lifecycle.

Enterprise leadership taught me how products operate at scale — the tradeoffs, the dependencies, the organizational complexity, and the distance between a decision and its real-world impact. Building my own products keeps me close to users, technical reality, experimentation, and zero-to-one execution. The two perspectives make each other stronger.

I build products directly because it makes me a better Product Manager. Building forces clear tradeoffs, exposes technical reality, and shortens the distance between an idea and real user feedback. These are products I have personally conceived, defined, built, tested, launched, or am actively taking toward market.

Independent rental businesses operate through a fragmented combination of booking websites, spreadsheets, messaging apps, payment processors, manual agreements, and scheduling tools. The result is operational friction for the operator and unnecessary steps for the customer.

The product challenge was broader than redesigning a website. I treated the entire rental customer journey — discovery, booking, communication, scheduling, support, and operations — as one connected product experience. The goal: reduce manual intervention while improving conversion and customer satisfaction.

Beyond the customer-facing platform, I designed and implemented a connected automation layer using n8n that orchestrates customer experience, rental lifecycle events, AI support, and operational systems. Detailed in the next section.

I designed and implemented a connected automation layer using n8n that sits between customer-facing channels and operational rental systems. Each workflow was built around a specific customer or operational problem — with clear system-of-record boundaries, idempotency, and safe failure behavior.

n8n · HQ Rental API · OpenAI · PGVector · Resend · Mailchimp · Smartcar / Jeep & Go · National Weather Service APIs · WordPress · Webhooks · REST APIs · Data Tables

Small businesses rarely need more software. They need fewer manual steps. The pattern I found across every SMB engagement: repetitive workflows, missed leads, fragmented tools, and support burden that could be eliminated with the right product thinking and automation.

Ekilibrium is both a business and a product experimentation platform. I use it to design, build, test, and ship AI-enabled products, vertical SaaS platforms, automation systems, and API-driven workflows for SMB clients — while developing and launching my own products in parallel. It is where I stay close to the full product lifecycle: discovery, definition, architecture, implementation, launch, and iteration.

Most fasting apps focus on timers and subscription upsells. They don't give users enough context about what's happening in their body or mind during a fast. The result: users quit when it gets hard.

Audio creators — musicians, podcasters, producers — spend significant time on mastering and mixing, a process that traditionally requires expensive studio time or deep technical expertise. The opportunity: make professional-quality audio processing accessible through AI.

Black Matter Project is an independently developed virtual music project created at the intersection of digital media, creative technology, branding, storytelling, audience development, and global digital distribution. It is one of the products created and refined through the MasterSauce process — and a real-world test of product-building principles applied to creative media.

Tools and platforms I've worked with across product development, data, cloud, AI, and enterprise delivery. Every technology listed reflects a real capability — not a logo wall.

Publishing is another form of product thinking for me: understand the audience, simplify complexity, structure the experience, and create something useful enough for someone else to act on. Each book is a product created through the MasterSauce process — from raw idea through research, writing, refinement, and distribution.

My books reflect the same areas I work in professionally — product management, AI, execution, creativity, and data-driven decision-making.

The AI Technical Operator is a three-volume practical series about moving from simply using AI to actually operating, connecting, and shipping technology with it. The series follows the complete AI-native builder journey—from technical foundations and development environments, through AI/tool integration, to production software and SaaS delivery.

The AI Technical Operator series reflects how I work today: not simply experimenting with AI, but using it to design, build, integrate, and ship real technology products. The trilogy turns that operating model into a practical framework—from environment and tooling, through AI integration, to production execution.

These are not unrelated topics. Together they reflect how I approach technology: understand the problem, make complexity accessible, use data intelligently, and turn ideas into something people can actually use. My published work spans product thinking, AI, data, creativity, technical execution, and actually shipping technology.