Glendale, California, United States
I am an engineering and technology leader with a track record of building and scaling software, data, and machine learning platforms across enterprise and consumer environments. My experience spans engineering management, data platform architecture, and applied AI, with leadership roles at organizations including Disney, Apple, Age of Learning, and leading consulting firms. I have operated at the Director and Senior Director level, leading cross-functional teams of software, data, and ML engineers to deliver production systems that support critical business functions. My work focuses on translating complex, ambiguous problems into scalable platforms—owning delivery from architecture through execution while partnering closely with product, business, and executive stakeholders. Across roles, I have: • Led engineering teams and organizations delivering large-scale software, data, and ML platforms • Owned platform strategy and execution, including roadmap definition, stakeholder alignment, and delivery outcomes • Built and operationalized machine learning systems across forecasting, NLP, and emerging LLM-based applications • Driven adoption of modern engineering practices, including cloud-native architectures, CI/CD, and MLOps • Delivered measurable business impact through data-driven systems and AI-enabled products I am actively working at the forefront of applying agentic AI to both engineering organizations and production systems—driving automation, developer productivity, and intelligent system behavior through LLM-powered agents. This includes integrating agentic patterns into software and data platforms, as well as leading teams to incorporate these capabilities into solution architectures and delivery workflows. My background combines hands-on technical depth with leadership across engineering teams, enabling me to operate effectively from system design through organizational execution. I have worked extensively on modern data platforms supporting AI and machine learning workloads, including LLM-enabled applications and production-scale ML systems.