United States
AI-first strategic technology leader and fractional CTO with 17+ years helping SMB and mid-market organizations, as well as Fortune 500 enterprises, translate ambitious business goals into scalable, secure, and modern technology solutions. Blends board-level thinking with hands-on architecture, having influenced more than $275M in cloud and AI services pipeline across global partner and customer ecosystems. Known for designing and delivering complex, multi-cloud application and data architecture, not just infrastructure—while coaching executive teams on where and how AI creates defensible competitive advantage. Entrepreneurial operator who runs his own consultancy, partnering directly with founders, CEOs, and technology leaders to define strategy, build the roadmap, and then roll up his sleeves to ensure execution lands measurable business outcomes. Core value pillars • AI-first business leadership – Frames AI as a business capability, not a tool; defines strategies, roadmaps, and operating models that improve revenue growth, margins, and customer experience. • Complex enterprise & multi-cloud architecture – Designs robust application, data, and integration architectures across AWS, Azure, and GCP, with a focus on modernization and resilience. • Partner & ecosystem strategy – Builds and scales high-performing partner practices and go-to-market motions that unlock new revenue and differentiation. • Founders’ and CEOs’ advisor – Translates technology decisions into business language, trade-offs, and ROI, helping non-technical leaders make confident, high-stakes decisions. • Hands-on delivery – Moves from strategy and boardroom conversations into solution architecture, technical oversight, and delivery leadership for complex initiatives.
AI-first advisory and delivery firm helping SMB and mid-market leaders harness AI and modern cloud architecture to outpace their competitors. • Serve as fractional CTO for founders and CEOs, defining technology vision, investment priorities, and execution roadmaps spanning AI, application modernization, and data platforms. • Design AI strategies and roadmaps that align with business objectives such as new product lines, operational efficiency, and customer experience differentiation. • Lead end-to-end solution architecture for AI/ML and cloud-native initiatives, from discovery and requirements through technical design, vendor selection, and delivery oversight. • Provide independent guidance across AWS, Azure, and GCP, helping clients avoid lock-in while selecting the right platform capabilities for their context. • Position clients to move beyond infrastructure-centric thinking toward application, data, and AI-driven solutions, ensuring technology investments are tied to revenue and margin outcomes.
Strategic technical leader for a portfolio of global consulting partners within AWS’s Worldwide Consulting Center of Excellence. • Owned global technical strategy and execution roadmaps for select strategic partners, directly shaping how they built and scaled cloud, data, and AI practices. • Influenced more than $275M+ in pipeline across Fortune 1000 and mid-market customers by guiding partners to design differentiated cloud and AI solution offerings. • Acted as executive-level technical advisor to partner leadership, aligning their investment in people, platforms, and IP with market opportunity and AWS ecosystem priorities. • Led cross-functional collaboration with sales, product, training, and support teams to ensure partners had the capabilities to deliver complex, multi-region architectures at scale. • Drove modernization of partner solution portfolios from infrastructure-heavy services to higher-value application, data, and AI solutions with stronger recurring revenue and margins.
Partner CTO for strategic distributors and resellers in North America. • Owned the technical strategy and growth plans for selected partners, guiding them to build scalable, cloud-native offerings across application, data, and AI workloads. • Advised partner CTOs and technical executives on building high-performing architecture teams, standard reference architecture, and reusable solution accelerators. • Helped partners reposition from commodity resale and low-level services into higher-margin managed services and solution IP, anchored in business outcomes for end customers.
Architected ML and data analytics solutions on Google Cloud Platform, specializing in machine learning model deployment and data pipeline optimization for enterprise customers. • Designed and implemented ML pipelines using Google Cloud AI/ML services, including Vertex AI and BigQuery ML • Led customer workshops on MLOps best practices and model lifecycle management • Developed custom ML solutions for customer business challenges across multiple industry verticals
• Guide organizations of all sizes to meet and exceed their business objectives, leveraging modern-day datacenter, cloud, and edge technologies, delivering business agility and true value. • This role was in a pro-bono capacity, as a service to the community.
• Technical Solutions Architect with the Sales and Services business unit at Long View Systems • Enable customers navigate the Information Technology landscape, delivering holistic solutions that meet business needs by leveraging the "Art of the Possible" thought process. • Responsible for pre-sales solution development and architecture design, engaging with the customers and partner organizations delivering POCs and driving momentum through the sales process. • Responsible for post-sales project oversight, delivery leveraging industry leading professional services methodologies, and mentoring junior resources