Enterprise AI and GenAI Delivery
Practical AI use-case definition, stakeholder alignment, KPI planning, rollout gates, monitoring expectations, acceptance criteria, and operational readiness.
Enterprise AI • GenAI/RAG • Product Analytics • Cloud Modernization
Enterprise AI / GenAI Technical Program Leader
Helping organizations turn AI, analytics, cloud modernization, and technical delivery execution into measurable business outcomes.
I lead enterprise AI, analytics, and modernization programs in complex business and technology environments. My focus is connecting business priorities to practical AI use cases and seeing them through to production and adoption.
About
Practical AI leadership with enterprise delivery depth
I am an enterprise technology and AI delivery leader with 25+ years of experience across the airline, retail/supply-chain, and automotive industries. My background spans technical program leadership, cloud and platform modernization, data analytics, and GenAI/RAG delivery.
I partner with product, engineering, data, and operations teams to define the right use cases, align stakeholders, and take solutions from idea to production with clear success metrics.
Focus Areas
Where I help organizations move from idea to execution
GenAI / RAG and Knowledge Workflows
FAISS-based retrieval, retrieval relevance tuning, knowledge-base impact analysis, quality checks, context validation, and GenAI workflow evaluation.
AI-Assisted SDLC Automation
Claude skills, AI agents, MCP-based workflows, requirements analysis, code review, PR review, deployment readiness, and secure delivery guardrails.
Product and Operational Analytics
Product analytics dashboards, customer interaction insights, digital adoption analytics, intent analysis, routing behavior, containment, handoff improvement, and insight-to-action planning.
Cloud and Platform Modernization
AWS modernization, APIs, microservices, CI/CD, Docker, Kubernetes, reliability, performance, cutover validation, and production readiness.
Selected Work
Programs I have led and delivered
A sample of enterprise initiatives, described by industry and outcome.
GenAI / RAG
GenAI/RAG for IT Knowledge-Base Impact Analysis
Built and evaluated a FAISS-based GenAI/RAG workflow for IT knowledge-base impact analysis at a major US airline, covering retrieval relevance tuning, quality checks, and context validation.
AI Agents
AI-Assisted SDLC Automation
Designed AI-assisted delivery workflows using Claude skills, AI agents, and MCP-based tooling to support requirements analysis, code and PR review, and deployment readiness for enterprise engineering teams.
Analytics
Predictive Personalization and Customer Segmentation
Led predictive personalization and customer segmentation for a major US airline's digital experience, translating business goals into analytics requirements, KPIs, and model evaluation criteria.
Product Analytics
Product and In-App Chat Analytics
Delivered product analytics dashboards and in-app chat insights for a major airline's customer-facing digital channels, helping teams understand adoption, containment, and handoff trends.
Operations
Interrupted Operations Analytics
Coordinated interrupted-operations analytics for an airline operations organization, from data ingestion through insight generation, surfacing process gaps and prioritized improvement opportunities.
Cloud Modernization
AWS Cloud Migration and Platform Modernization
Led AWS migration and modernization of backend services for an enterprise platform, including API readiness, cutover validation, reliability checks, and launch readiness.
Delivery Modernization
Enterprise Delivery Modernization
Established Agile, DevOps, CI/CD, and delivery governance practices across modernization initiatives, improving release predictability and reducing delivery cycle time by 23%.
Retail Analytics
Warehouse Analytics and KPI Dashboards
Delivered warehouse analytics dashboards in a retail/supply-chain environment, improving operational KPI visibility and helping reduce inventory discrepancies by 7%.