Case Studies - Proven solutions for real-world problems.

Vectorworx was founded in 2024 by Phil GeLinas, a veteran engineer who has spent decades delivering automation and AI-ready platforms for some of the world’s most demanding enterprises. Before starting Vectorworx, Phil led projects that cut T-Mobile’s audit prep by 73%, validated 100K+ messages/minute for Disney, and scaled Kroger’s e-commerce operations to 2,000+ stores during a pandemic — all delivered from concept to production in weeks, not quarters. Today, Vectorworx applies that same engineering discipline to help organizations modernize operations, reduce risk, and move from PowerPoint to production — building systems that are AI-ready from day one.

Vectorworx.ai logo
Vectorworx.ai
AI Platform Engineering, Automation, CI/CD, Live Services Enablement
January 2025

Production-Grade AI & Automation for Regulated Enterprise

Vectorworx.ai delivers engineering-led AI and automation systems built for reliability, compliance, and measurable ROI—helping regulated enterprises deploy “boring” (bulletproof) platforms they can trust to run without drama.

Designed and delivered a full-stack, production-grade AI platform with LLM + RAG backend, orchestration, and branded Next.js frontend.

Vectorworx.ai is my stake in the ground: production AI, full-stack, front to back—with no consultant speak, no PowerPoint pilots—just systems that ship, deliver real outcomes, and put the client in full control from day two.
Phil GeLinas, Founder & AI Engineer, Vectorworx.ai
T-Mobile logo
T-Mobile
Cybersecurity Automation, Compliance, ServiceNow Integration
June 2019

Cybersecurity Compliance Automation Platform

Phil GeLinas designed and delivered T-Mobile's cybersecurity compliance automation platform—integrating ServiceNow workflows, NLP-driven requirement mapping, and automated evidence gathering to cut audit prep time by 73% and eliminate manual bottlenecks.

Architected and delivered an automation platform tailored for cybersecurity analysts to streamline software compliance and audit readiness.

Teams reported markedly faster audit prep, improved accuracy, and end-to-end traceability that helped hit regulatory deadlines with less last-minute scramble.
Engineering Teams, T-Mobile
T-Mobile logo
T-Mobile
Test Automation, CI/CD, QA Transformation
November 2017

Enterprise Test Automation for Large-Scale CI/CD

We modernized T-Mobile's enterprise test automation, delivering a robust, scalable framework embedded in CI/CD that cut manual regression hours by 60%, supported 40+ agile teams, and increased release confidence across the organization.

Architected an enterprise-wide Selenium-based automation platform supporting 40+ agile teams with scalable, maintainable design.

Project reviews documented faster feedback cycles, fewer late-stage defects, and a platform that scaled continuous delivery without sacrificing stability.
Engineering Leadership, T-Mobile
Atigeo logo
Atigeo
Medical NLP, QA Automation
July 2015

Big Data Medical NLP Automation for Regulated Healthcare

As SDET and programmer-writer, Phil GeLinas built and documented Atigeo’s xPatterns platform for computer-aided coding—enabling reliable, scalable NLP pipelines for medical billing and analytics.

Architected and automated testing pipelines (Java, Python, Selenium) for HIPAA-compliant NLP and billing workflows.

From team debriefs and customer enablement sessions, colleagues recalled that robust automation, rigorous documentation, and systematic enablement made xPatterns stand out—supporting reliable, scalable AI in regulated healthcare with customer trust intact.
Colleagues, Atigeo — xPatterns
Expedia Group logo
Expedia Group
Test Automation, Microservices Migration, DevOps
April 2019

Monolith-to-Microservices: Global Booking Platform Modernization

Phil GeLinas led test automation and risk mitigation for Expedia’s critical migration of its booking and payment systems from a legacy monolith to modern microservices—enabling safer, faster global releases and sustained business continuity.

Built dual-path Selenium and API automation frameworks for both legacy monolith and new microservices—ensuring all booking, payment, and edge cases matched before every release.

Stakeholder feedback highlighted how the automation-driven migration reduced release risk and accelerated deployments while maintaining platform stability during a high-stakes cutover.
Stakeholders, Expedia Group
Amazon logo
Amazon
Documentation Automation, Content Conversion, Structured Authoring
June 2010

From Batch Conversions to AI-First Content Workflows: Lessons from Amazon’s 2010 DITA Project

In 2010, Amazon began migrating vast technical documentation libraries to structured, reusable DITA XML. We led the analysis, conversion, and automation strategies that made it possible — and the lessons from that effort directly shape how we now build AI-powered content pipelines.

Analyzed and mapped legacy documentation into structured DITA XML (Darwin Information Typing Architecture) for modular reuse, scalability, and multi-channel publishing.

Team members noted that the DITA migration created a durable foundation for scalable, reusable, and compliant documentation practices that continued to guide processes years later.
Team Members, Amazon
Disney logo
Disney
Cloud Automation, Test Engineering
June 2016

Scalable Cloud Test Automation for High-Volume Messaging

Phil GeLinas engineered and deployed a robust AWS-based Selenium Grid automation framework for Disney’s real-time messaging platform, enabling secure, scalable delivery for ESPN, Marvel, and ABC News.

Built AWS-hosted Selenium Grid to support parallel test execution across browsers and platforms.

Feedback indicated the AWS-based automation framework met demanding scale and reliability requirements for a major streaming platform, with performance holding under peak loads.
QA & Engineering, Disney
2K Games logo
2K Games
Front-End Modernization, Product Ownership, Live Services Enablement
May 2024

Responsive React Front-End Modernization for Technodrome

Vectorworx modernized 2K’s mission-critical Technodrome platform—delivering a responsive, component-driven React UI that accelerated campaign launches from days to minutes, reduced configuration errors by 23%, and boosted development velocity by 37% with zero downtime during peak events.

Directed the front-end modernization of Technodrome, the operational control tower for in-game promotions, release timing, and targeted rollouts across multiple AAA titles.

Delivery managers reported that the modernized React interface improved operational speed and reduced user-visible errors, keeping technical delivery aligned with business promotion schedules.
Delivery Managers, 2K Games
Cisco Systems logo
Cisco Systems
UI Test Automation, CI/CD Integration, Developer Enablement
January 2015

Mission-Critical UI Test Infrastructure for Emergency Communications

Phil GeLinas designed and delivered a production-grade UI test automation platform for Cisco’s mission-critical streaming media provisioning system—used by emergency responders, law enforcement, and the FBI to capture and replay 911 calls.

Designed and deployed a Selenium WebDriver + Grid automation framework from scratch, achieving 80% coverage in under 2,000 lines of code.

Managers noted the delivered test infrastructure was fast, reliable, and maintainable—straightforward for internal teams to own and evolve.
Engineering Managers, Cisco Systems
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Irdeto
API Documentation Automation, SDK Standardization, Developer Experience
May 2010

Scalable API & SDK Automation for Secure Video Platforms

We modernized Irdeto’s API and SDK documentation ecosystem, delivering automated workflows and standardized patterns that reduced onboarding time for global integrators and improved accuracy across 50+ web services and 4,000+ public methods.

Owned and delivered API reference documentation for 50+ web services and 4,000+ public methods powering DRM, entitlement, and secure video workflows.

Leadership noted that standardizing and automating developer documentation improved integration accuracy, shortened onboarding, and lowered support demand.
Product Leadership, Irdeto
Nordstrom logo
Nordstrom
System Modernization, DevOps, React UI
January 2020

Reverse Logistics Modernization for Multi-Channel Retail

Phil GeLinas led the end-to-end modernization of Nordstrom’s reverse logistics platform, transforming a fragile Java monolith into a resilient .NET Core + React system powering returns, refurbish/resale workflows, and downstream analytics.

Re-architected a legacy Java monolith into modular .NET Core services with a React front end.

Leads reported that modernization improved reliability and observability—enabling faster change and resilience during peak demand.
Ops & Platform Leads, Nordstrom
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IBM
Technical Documentation, User Enablement, Instructional Design
January 1998

AS/400 Technical Studio Transformation: Accessible Training for Complex Systems

At IBM’s Technical Studio, Phil GeLinas transformed training for IBM’s AS/400 mid-range servers—making configuration and operations accessible to non-technical business users through multimedia-rich instructional design.

Developed clear, user-focused training materials for IBM AS/400 systems targeting non-technical business users.

Program managers observed that the training materials made complex legacy systems approachable for non-technical users—reducing support load and increasing user confidence.
Program Managers, IBM Technical Studio
Intel logo
Intel
Enterprise Modernization, Streaming Solutions, Knowledge Management
January 2000

Enterprise Knowledge Platform with Synchronized Video Learning

Phil GeLinas led the design and delivery of a knowledge-management platform for Intel’s enterprise engineering teams—introducing synchronized video and slide content for large-scale technical enablement.

Architected a secure, scalable platform hosting synchronized video and PowerPoint for training.

Internal feedback emphasized that the platform shortened ramp-up time and improved collaboration across globally distributed engineering teams.
Internal Teams, Intel Corporation
Fair Isaac (FICO) logo
Fair Isaac (FICO)
Developer Enablement, Risk Automation Documentation
January 2008

Fraud Management Platform: Developer Enablement & Documentation at Scale

Phil GeLinas supported FICO’s Falcon Fraud Manager and risk products with developer enablement—turning complex APIs and rules engines into clear documentation that accelerated integrations.

Created developer documentation and self-service guides for Falcon Fraud Manager.

Stakeholder feedback emphasized that enhanced documentation quality reduced integration timeframes and lowered the support burden on internal teams.
Stakeholders, FICO
Kroger logo
Kroger
E-Commerce Automation, DevOps
March 2021

E-Commerce Automation and Pandemic-Scale Rollout

Phil GeLinas led the architecture and delivery of automation for Kroger’s curbside pickup and e-commerce operations, scaling to 2,000+ stores and supporting rapid digital transformation during COVID.

Designed automation for ordering, fulfillment, and pickup workflows across thousands of locations.

Leadership noted that the automation and scaling work maintained e-commerce platform stability through unprecedented demand spikes, with performance remaining within operational parameters.
Digital Operations Leadership, Kroger
T-Mobile logo
T-Mobile
DevOps Engineering, Messaging Infrastructure, CI/CD, QA Transformation, Performance Engineering
April 2018

High-Performance Messaging Pipeline & Enterprise CI/CD Automation

Vectorworx led the end-to-end delivery of a high-performance messaging platform and enterprise-grade CI/CD automation for T-Mobile—powering ESPN, Marvel, and other partners with sub-100ms real-time updates, automated testing, and zero-downtime deployments.

They took a brand-new DevOps team from an empty repo to a production-ready messaging backbone in just 12 weeks. It became the real-time foundation for partner experiences like ESPN and Marvel, holding sub-100ms latency and passing every stress test we put it through.
Engineering Manager, T-Mobile
Trusted by engineering and product teams

From Runway to Production Altitude in Weeks

Ideas taxi. Systems fly.

Skip pilot purgatory. Book a free strategy session to spot high‑impact automation, get a realistic timeline, and see ROI ranges you can defend—no slideware, just a flight plan tailored to your stack and constraints.

Unlike traditional AI consultants who deliver pilots that never take off, we build systems that reach cruising altitude—and stay there—with observability, guardrails, and ownership transfer baked in.

Direct Flight Path

No layovers in pilot purgatory—production deployment in 4–6 weeks (typical).

Flight‑Ready Systems

Pre‑flight CI/CD + tests, guardrails & observability, zero‑downtime rollout with rollback.

Core Expertise:

Secure AI Flight Operations (AWS/Azure)RAG & Knowledge OpsAutomated Pre‑Flight Systems (CI/CD + Tests)AI Flight Monitoring (Observability + Guardrails)Process AutomationCloud & Data Architecture

Typical 6‑Week Journey:

Week 1: Runway clearance (constraints, ROI targets)Weeks 2–3: Build core + testsWeeks 4–5: Integrations, guardrails, load checksWeek 6: Production altitude + handoff

Senior Manager

Debi Lane, Irdeto (Secure Digital Delivery Platform)

“Philip quickly developed highly efficient processes that can keep pace with our new development, mastered new tools and technologies, and forged excellent working relationships with our system architects and principal engineers“

Free Strategy Session

Get Your Production Flight Plan

30‑minute deep dive, 3 takeaways guaranteed

  • Identify 1–3 automation opportunities with ROI ranges (visible in month 1, typical)
  • Architecture + timeline: 4–6 weeks (typical)
  • Next steps you can act on tomorrow

Enterprise Safeguards

  • Private models (AWS Bedrock / Azure OpenAI), RBAC & audit logs
  • Data minimization & policy‑backed prompts; compliance by design
Request Flight Clearance

⚡ Only 3 spots left this month

Usually booked 2–3 weeks out

Remote‑First, Global Reach

📍 Based in Bristol, TN🌍 Serving clients worldwide
(423) 390‑8889

Response within 2 hours