Former Amazon & Walmart Team Lead

Strategic Architecture for
$20M+ Enterprises.

I don't build websites for small businesses. I architect the high-performance custom software and automated infrastructure that powers scalability for major corporations.

Strategic Capability

I Build The Systems That Scale Your Revenue.

Most agencies sell code. I sell stability and scale. My approach aligns complex technical systems with your profit centers to drive direct ROI.

  • Technical Direction & OversightTranslating executive vision into clear technical roadmaps to keep development teams moving fast and error-free.
  • Technical Marketing & AI Growth ArchitectureBuilding high-velocity AI systems that bridge the gap between Big Data and ad platforms. I architect automated pipelines that turn complex customer signals into optimized campaigns across search and social, ensuring massive ad spends are diversified and efficient.
  • Legacy ModernizationRefactor debt-ridden monoliths into scalable microservices.
  • High-Load InfrastructureSystems designed for millions of daily active users.

"I bridge the gap between business strategy and technical execution. Whether we are diversifying millions in Google spend into new social channels or architecting an AI-driven conversion engine, I ensure your software is delivered on time and aligned with your revenue goals—no excuses, no delays."

Executive Technical Capability

Proven ROI & Impact.

99%
Operational Efficiency Gain

Architected an end-to-end document automation platform for a Fortune 200 Energy leader to satisfy NERC federal compliance. By orchestrating real-time SCADA data and predictive alarm signals, I transformed a manual 240-hour monthly engineering task into a <1-hour automated workflow. This "zero-to-one" solution eliminated a potential $1M/day regulatory risk through AI-driven data analysis and automated email triggers.

AI
Real-Time Data Intelligence

Appointed as Tech Lead to direct the architecture of a mission-critical grid-intelligence platform. I lead a multi-functional team using Generative AI & Agentic Workflows to integrate dozens of real-time data sources into actionable dashboards for high-profile portfolios (hospitals, stadiums, government agencies). This system identifies and automates responses to systemic risks before they impact the network.

$350M
Revenue Increase

Architected a data-driven "Revenue Engine" for Walmart (Sam’s Club) using AI to analyze member purchase history and automate hyper-personalized email offers. This technical marketing system leveraged enterprise data pipelines to predict customer needs, driving $350M in sales in just 6 months.

$33M
Annual Operational Savings

Architected a unified data governance framework for Kaiser Permanente, optimizing high-load Oracle databases to eliminate systemic data redundancy. This modernization effort streamlined enterprise reporting and reduced annual infrastructure overhead by $33M.

95%
Workflow Automation

Engineered a custom automation engine for Petco’s product allocation team, transforming a 40-hour weekly manual executive process into a 2-hour automated workflow. This high-performance infrastructure allowed leadership to shift focus from data entry to high-level inventory strategy.

22%
Global Loss Reduction

Led Amazon’s Global Shrink Management technical team to build predictive algorithms that identified systemic inventory losses across the supply chain. By implementing these automated "Operational Intelligence" signals, we reduced global warehouse variance by 22%.

33%
Reduction in Clinical Overhead

Directed the architecture of DaVita’s flagship iPad application, integrating complex clinical data pipelines into a seamless mobile interface. The system streamlined doctor-patient data entry nationwide, reducing administrative paperwork by 33% and increasing clinical throughput.

35%
Increase in Logistics Throughput

Owned the front-end architecture and developed a shared component library for 12+ critical business applications at CSX. By refactoring legacy code and optimizing API data handling with Angular and RxJS, I enhanced platform load speeds by 35%, directly accelerating large-scale logistics and supply chain decision-making.

How We Architect Growth: The Enterprise Revenue Engine.

Solving complex business problems requires more than code—it requires a technical strategy aligned with your profit centers.

01

Phase One: Technical Discovery & Audit

The Goal

To understand the "Why" before the "How."

The Process

We conduct a comprehensive audit of your entire technical ecosystem—from enterprise CRM and ERP systems to real-time telemetry and analytics pipelines. We identify systemic bottlenecks, fragmented data silos, and hidden "leaky buckets" across your customer journey that are draining your operational budget and ad spend.

02

Phase Two: Strategic Architecture & MVP Iteration

The Goal

To build a scalable solution that delivers immediate value.

The Process

We architect a custom solution using Next-Gen AI and automated infrastructure. By leveraging high-velocity Generative AI & Agentic Workflows, we rapidly build and iterate on an MVP based on real-time feedback from your team and data from your users. This ensures the final product is perfectly tuned to your business requirements and ready for production-scale deployment.

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Phase Three: Automated Scaling & Continuous ROI

The Goal

To turn the solution into a "Revenue Engine" that runs itself.

The Process

We implement the full-scale automation—like the $350M personalization engine we built for Walmart or the 99% efficiency gain achieved through document automation for Fortune 200 energy leaders. We ensure your team can shift focus from data entry to high-level strategy while the system handles the heavy lifting.

Trusted by Giants

Fortune 200 Energy Leader, Amazon, Walmart, Kaiser Permanente, Petco, DaVita, CSX.

Generative AI OrchestrationEnterprise MarTechReact/AngularNode.jsTypeScriptAWS/AzureSQL/OracleSSO/SAML Security