Current
Chief Products & Solutions Officer, Explore Digits
At Explore Digits, I lead product and engineering teams delivering AI/ML and GenAI solutions in regulated healthcare. translating strategy into deliverable outcomes across product, engineering, and operations. My focus is measurable impact, reliable delivery, and responsible application and AI execution in regulated environments.
- Lead product and engineering for regulated healthcare AI/ML and GenAI initiatives.
- Direct distributed teams across the U.S. and India.
- Own the end-to-end ML and GenAI lifecycle, including deployment and monitoring.
- Lead DevOps and MLOps practices for reliable model operations and delivery.
- Reduced AWS spend by 50%+ through architecture and cost optimization.
Timeline
July 2023 - Present
Chief Products & Solutions Officer, Explore Digits
April 2018 - May 2023
Sr. AI/ML Evangelist and Sr. Solutions Architect at AWS, focused on partner enablement, workshops, executive briefings, and MLOps.
Dec 2019
Georgia Tech: M.S. in Computer Science / Machine Learning.
2012 - March 2018
Sr. Technical Account Manager and Client Executive at Panzura.
2006 - 2012
Founder and Project Manager at BrightApp.
2002 - 2006
Co-founder and Software Team Lead at Embedded Toolsmiths.
Publications & Speaking
- Speaker and panelist: AI-World Government 2022 (program), including "MLOps & Operationalizing AI/ML Workloads on AWS" and a keynote panel discussion on AI implementation readiness.
- Transporting People and Freight More Efficiently with Cloud-based Technologies (July 2021)
Addresses how cloud-based technologies can improve transportation and freight efficiency, especially for public-sector planning and operations.
- How to extend the functionality of AWS Trainium with custom operators (April 2023)
Explains how custom operators can extend Trainium for specialized ML workloads when default operators are not sufficient.
How I help...
- Product strategy and execution for AI/ML and GenAI.
- Product delivery in regulated environments (FedRAMP, FISMA), such as healthcare.
- End-to-end ML lifecycle design, including deployment and monitoring.
- DevOps and MLOps operating model setup for scalable delivery.
- AWS architecture and cost optimization, including spend analysis and reduction.
- Building and leading distributed product and engineering teams across the U.S. and India.