Resume Overview
AI, Cloud, and Enterprise Architecture Leadership
I help organizations move from AI ambition to production reality. My work sits at the intersection of enterprise architecture, applied AI, and business transformation — building secure, scalable systems that create measurable value for both clients and internal teams.
Enterprise AI Strategy
Translate business priorities into AI roadmaps, operating models, and scalable architecture patterns that move organizations from experimentation to measurable value.
Production GenAI Systems
Design and operationalize LLM, RAG, and agentic AI systems with the engineering rigor needed for security, reliability, observability, and long-term maintainability.
Cloud & Platform Leadership
Build cloud-native AI and data platforms across Azure and AWS using modern engineering practices, reusable frameworks, and MLOps/LLMOps standards.
Executive & Client Partnership
Work closely with business and technology leaders to define high-value use cases, shape delivery strategy, and align AI investments to operational and customer outcomes.
Professional Summary
Director-level technology leader with 17+ years of experience building enterprise cloud, data, and AI systems. Over the last several years, I’ve focused deeply on production-grade Generative AI, LLM, RAG, and agentic workflows — helping organizations design architecture, govern risk, and deploy solutions that improve decision-making, automate knowledge work, and create durable business value.
My background combines hands-on engineering depth with executive-level strategy. I’m most effective when connecting business goals to technical execution: defining AI roadmaps, shaping scalable platforms, mentoring teams, and building systems that are not only innovative, but also secure, observable, and practical to run.
What I Bring
- Lead enterprise AI initiatives from discovery and architecture through deployment, monitoring, and adoption.
- Turn GenAI concepts into practical systems that improve decision-making, productivity, and speed to execution.
- Create reusable accelerators, reference architectures, and governance patterns that reduce delivery time and scale impact across teams.
- Operate effectively in regulated and risk-sensitive environments, balancing innovation with security, compliance, and trust.
- Bridge strategy and engineering — comfortable in executive conversations, technical design sessions, and cross-functional delivery.
Recent Experience
Lead enterprise AI strategy, solution architecture, and delivery for Fortune 500 clients, with a focus on production-grade GenAI, LLM, and intelligent automation systems. Partner with executives and engineering teams to define roadmaps, govern risk, and scale reusable AI capabilities.
Architected large-scale cloud, AI/ML, and modernization solutions across healthcare, financial services, government, and retail. Delivered cloud-native platforms, automation pipelines, and secure enterprise architectures that improved efficiency, resiliency, and deployment velocity.
Built a strong foundation across cloud migration, application modernization, collaboration platforms, and enterprise solution architecture — experience that now informs my work in AI platform design, systems integration, and scalable delivery.