United States
I bridge the gap between complex engineering and executive business strategy. With over 20+ years of technical leadership — from Senior Unix Infrastructure Administrator at Lufthansa to architecting high-scale AI/ML Infrastructure for Fortune 5 enterprises — I specialize in turning ambiguous technical roadmaps into structured, predictable execution in high-stakes environments. What sets me apart: I don’t just manage programs. I engineer delivery ecosystems. My edge is the ability to connect bare-metal, high-performance computing constraints with boardroom vision. I bring hands-on familiarity with high-density compute orchestration (including Nvidia DGX architectures) and hybrid cloud infrastructure (AWS / Azure / GCP), ensuring AI/ML strategy is always backed by resilient, scalable, and secure platform engineering. I back this technical depth with rigorous governance, risk mitigation, and delivery discipline. As an engineering-adjacent leader, I have: * Led $40M+ platform & digital transformation programs across the US, Europe, and Southeast Asia. * Reduced platform outages by 60% and optimized core system performance by 50% through aggressive infrastructure modernization and automation. * Established repeatable enterprise governance (RAID, dependency mapping, change control) to ensure predictable deployment velocity and SLA compliance. I operate with the resilience, precision, and long-range focus that enterprise execution demands. 🇺🇸 US Citizen | 🇪🇺 EU Mobility | Clearable for Federal/Top Secret Assignments | Mobile for Global Deployment.
Deliver structural market analysis, technical advisory, and strategic execution roadmaps for enterprise cloud infrastructure and high-scale AI/ML platform transformations. • Partner with international stakeholders to architect high-availability platform models, integrating advanced Generative AI infrastructure, RAG frameworks, and automated MLOps tooling. • Incorporate comprehensive security governance, control inheritance, and zero-trust principles into emerging high-scale platform architectures (CISM framework alignment). • Deepen domain expertise in enterprise-scale platform delivery models through advanced technical specialization programs (including Google Generative AI Leader and IBM Generative AI for Executives).
Balanced strategic intent and engineering execution to drive a complex, AI-powered digital transformation across enterprise Salesforce and Snowflake data platforms, reducing cross-pillar operational overhead by 30+ hours per week per employee. • Orchestrated a 1,100+ hour global AI engineering program, driving transparency and on-time platform delivery across distributed IT, Security, PMO, and data engineering cohorts spanning 4 continents.• Reduced cross-pillar operational overhead by 30+ hours per week per employee by eliminating workflow redundancies and engineering bottlenecks. • Established and scaled repeatable program governance mechanisms—including risk tracking logs, RAID reporting systems, and multi-team dependency mapping—to ensure predictable delivery cadence.
Spearheaded execution rigor for a $40M AI Product & Platform Transformation, successfully transitioning a complex state and federal AI infrastructure program from an ambiguous technical build into measurable business value. • Partnered closely with engineering, product, and data science leaders to translate strategic research priorities into executable roadmaps, clear milestones, and targeted work plans. • Architected and rolled out robust enterprise platform governance frameworks (change control boards, risk management models, and technical vendor gates) that ensured complete regulatory and grant compliance. • Aligned distributed, cross-functional engineering teams by establishing performance KPIs and delivery metrics that drove consistent execution against compressed schedules. • Commanded complex hardware/software procurement strategies and technical vendor negotiations within heavily constrained public-sector environments.
Maintained active domain engagement through independent technical research while managing family caregiving responsibilities during spouse's intensive doctoral research program.