Engineering leader with 18+ years of experience across data engineering, solutions architecture, and AI engineering, delivering data and AI platforms at global scale (750M+ players).
I lead enterprise data and AI initiatives that modernize data foundations and enable analytics and AI at scale. My work spans target architecture definition, data engineering platforms, shared metrics and semantic layers, and governed access that allows analytics, AI tools, and LLMs to operate on trusted data.
I work closely with executives, studio leaders, and senior business stakeholders to translate strategy into executable data and AI capabilities. I bring a deep understanding of business drivers (growth, engagement, operations, and efficiency) and align engineering priorities to measurable outcomes.
I partner tightly with product management and design, including 0→1 platform and data product initiatives, shaping product vision, roadmaps, and delivery from concept through adoption. I focus on building platforms that solve real problems and are used in day-to-day decision-making.
My focus is impact: reducing complexity and cost, improving reliability, and accelerating time to insight and time to decision. Strong data engineering fundamentals are paired with pragmatic execution and clear ownership.
I design self-service data and AI platforms that empower studio GMs, analysts, and business leaders, while maintaining governance, security, and operational rigor to scale responsibly.
I’ve delivered production-grade systems across data platforms, analytics engineering, and AI-enabled automation, including agentic workflows that support decision processes at scale.
Known for building and scaling teams, developing senior leaders, and driving modernization through accountability and execution.
