AI Innovation, ETO & Engineering Excellence

AI as a Business Multiplier

I don’t view AI as a technology choice — I view it as an organizational capability that compounds over time. Across two decades and two companies, I’ve taken AI from concept to production at scale: - At Verizon, I deployed ML-driven dispatch automation that moved 20,000+ field technicians from 34% to 80% automated scheduling — a business outcome that saved millions in operational cost. - At Trimble, I championed the adoption of AI/ML across the product portfolio, reducing development cycle time by 40%, cutting test case generation effort by 65%, and building Agentic workflows that transformed how teams work. The through-line: I build AI strategies that are production-grade, team-adopted, and tied to measurable business value — not R&D experiments.

The “Engineering to Order” (ETO) Model

I specialize in bridging the gap between bespoke quality and platform speed. By pioneering the Engineering to Order business model, I’ve turned custom-tailored software products into scalable, high-margin realities.

Agentic AI & Workflows

• Beyond RAG: Designing autonomous agents that move past simple chat interfaces to execute multi-step business workflows.
• Strategic Stack for Agentic Systems:: Each tool is chosen for production-readiness and team scalability — LangGraph for complex multi-agent orchestration, N8N for workflow automation at non-technical team speed, Vector DBs for retrieval-augmented production systems.
• Agentic-Ready APIs: Designing API ecosystems that are optimized for consumption by autonomous agents, ensuring future-proof platform scalability.
• Autonomous Tuning: Developed specialized agents for SQL performance tuning, identifying bottlenecks and suggesting index strategies autonomously.

Cloud Governance & FinOps Excellence

I lead multi-cloud transformations (AWS, Azure, GCP) that support high-density AI workloads and distributed event-driven architectures.

• 97% AWS Cost Efficiency: Optimized cloud resources to achieve a consistent 97% cost efficiency rating through automated scheduling and instance rightsizing.
• Automated FinOps: Engineered an auto-shutdown framework for EC2 and RDS instances, resulting in direct annual savings of $4k and reducing manual patching effort by 1k hours.
• Serverless Optimization: Reduced serverless deployment package sizes (Lambdas) by 97%, significantly improving cold-start performance and operational cost.
• Security Compliance: Achieved 100% compliance in vulnerability management, reducing vulnerabilities from 150 to 15 per asset.

Engineering Excellence & Autonomous DevOps

AI-Driven Quality Strategy: Co-authored the AI in QA Playbook, establishing the organizational standards for integrating LLMs and Agentic workflows into the automated testing lifecycle.

• Testing Pyramid: Transitioned the organization from the “Ice Cream Cone” anti-pattern to a lean, AI-augmented Testing Pyramid.
• QA Nexus Dashboard: Engineered a unified automation testing dashboard using ElasticSearch and Kibana, providing real-time visibility into the health of 18+ major product releases.
• Mailbox Magician: Built a unique tool that triggers end-to-end test suite automation directly via email inputs, bridging the gap between business requests and execution.
• Unified Metrics: Automated the tracking of SPACE and DORA metrics through a centralized DOMO dashboard to drive data-backed velocity improvements.

The “Stay Curious” Tech Radar

For the last 5 years, I have spearheaded the development of our internal Tech Radar, providing a strategic technical North Star for the organization.

• 40% Adoption Rate: Successfully achieved a 40% organizational adoption rate, aligning engineering efforts with approved, forward-looking technology quadrants.
• Active Technical Trials: Governing the trial and assessment of high-impact technical projects, including:
  • SQL Observability: Implementing deep-dive monitoring for database interaction layers.
  • Edge AI: Exploring localized AI processing for forestry hardware and IoT devices.
  • Modern Tooling: Driving adoption of Devbox, JMeter with AI, and Playwright MCP to modernize the developer experience.

Global Tech Leadership

Certifications in AWS (Solution Architect), Azure, and GCP allow me to lead multi-cloud transformations that support high-density AI workloads and distributed event-driven architectures.