Professional Summary
Director of Software Engineering with 9+ years at UPS leading mission-critical engineering portfolios across Network Planning & Optimization and the Enterprise Business Cockpit. Currently driving EBC, an AI-driven, agent-orchestrated decision intelligence platform that moves the enterprise from static dashboards to plain-language business outcomes. Known for scaling teams, modernizing cloud and data platforms, building reusable agentic AI foundations, and translating complex engineering into executive-ready delivery roadmaps.
Professional Experience
Lead engineering execution and delivery for EBC, a conversational analytics platform turning enterprise data into plain-language outcomes across Finance, Marketing, Labor, Payroll, Benefits, and Contracts.
- Directed a multi-agent architecture anchored by domain agents, a shared semantic layer, Stardog knowledge graphs, Master Coordinator orchestration, and deployment quality gates.
- Drove PI13 delivery planning across Contracts, Benefits, Payroll, PFR, Competitive Position, Volume & Revenue, and the EBC UI — aligning UAT readiness, production sequencing, and data dependencies.
- Shipped domain agents including a natural-language Contracts Agent, Benefits Agent (RBAC masked/unmasked access over 17 years of data), and Payroll Agent with row-level security.
- Modernized the monthly PFR executive scorecard from static Excel into a live, queryable, scenario-enabled intelligence surface.
- Partnered with UPS business leaders, IBM watsonx, and Microsoft to accelerate production readiness while maintaining governance and responsible-AI controls.
- Promoted reusable agent patterns (RAG, Document Intelligence, Domain Orchestrator, Scenario Planning) supporting an enterprise roadmap toward 200+ agents.
Owned the full engineering lifecycle for NPOP — a mission-critical suite driving network planning, flow writing, contingency publication, and simulation across the global ground network.
- Delivered ~$1.1M in Couchbase cost avoidance and a ~270% proposal throughput improvement through architecture and resource optimization.
- Completed GCP IaaS migration for STAR Engine simulators (standalone IC + Java Wrapper), enabling dynamic scale up/down; leveraged ~$500K in cloud credits for burst-capacity and work-stoppage modeling.
- Delivered a Zero-Trust Service Mesh across the NPOP portfolio with no production disruption, hardening platform security.
- Migrated on-prem ADO to Azure DevOps Services and sunset the legacy NIS publication system by integrating FLEX, 7DF, Flowcaster, and Postal Load Charts.
- Implemented Dynatrace APM dashboards and canonical UI logging with LLM integration for AI-driven observability and diagnostics.
- Expanded Flow Workbench (Accessorial, Low-Level Service, Sort Pair Triplets) and built custom AI onboarding agents to accelerate developer ramp-up.
Signature Leadership Contributions
- Founded UPS's first Quarterly Innovation Summit across Network Planning, Ground Transportation, and Automotive.
- Established an Agile Community of Practice for ITC and NPOP focused on experimentation, lean practices, and delivery discipline.
- Led the Digital Innovation Townhall and delivered a quarterly webinar series for the IE Engineering Development Program.
- Managed a major vendor staff transition (~70%) while protecting delivery momentum and production stability.
Selected Product Portfolio
Enterprise Business Cockpit
Agentic AI decision platform spanning Benefits, Contracts, Payroll, Competitive Position, PFR, and Volume & Revenue with reusable orchestration.
Benefits & Contracts Agents
Semantic layer, Stardog knowledge graphs, GCP RAG retrieval, negotiation-context ingestion, and role-based masked/unmasked data access.
Competitive Position Analytics
UPS-vs-competitor net-position intelligence with NPOP data integration, PRR reliability, and geography/time ontology expansion.
NPOP / Flow / STAR / NIS
Network planning, flow criteria, simulation, publication pipelines, cloud migration, APM, and security modernization.