Delivering Technology at Scale
Engineering reliability across platforms, products, and teams.
- Apps Managed
- 41+
- Engineers Directed
- 400+
- Transactions Processed
- $200B+
- Environments Supported
- 50+
Product Management
Turning Vision Into Value

Great products begin with clear intent. My approach to product management connects vision to value—first defining the problem, then validating opportunities, and translating ideas into solutions that enhance end-user workflows.
My experience managing full product lifecycles across enterprise and startup environments allows me to balance structure with agility. I design systems for feedback, iteration, and continuous improvement, ensuring technology, business, and users move forward together.
User-centric product management extends beyond shipping features. Delivering functionality demands excellence in training, release management, change control, and post-iteration evaluation. I view every product as a living system—something to be evolved, not static code or process resistant to change.
Engineering
Designing for Reliability and Scale

Managing technology at scale requires structured frameworks and forward-looking design. It starts with clear objectives, well-architected solutions, and alignment between applications, workflows, and business goals.
Support and sustainability are equally vital. Systems often meet project targets but falter under production data, edge cases, and complex integrations. These realities demand foresight, resilience, and disciplined design.
I bring experience on both sides of delivery. I’ve led enterprise change initiatives and personally stabilized failing systems under pressure. This dual perspective helps me anticipate challenges, design for durability, and guide teams toward solutions that last.
Enterprise Technology
Orchestrating Systems at Scale
Large-scale systems don’t run on code alone. Every application, environment, integration point, data center, platform, and process must align for enterprise technology to perform reliably at scale.
Across 135+ workstreams and 400+ engineers, I’ve architected and managed ecosystems where data, infrastructure, and user experience intersect. From EHR and SAP to modern SaaS and AI automation, I understand how individual components connect to create a cohesive operational whole—and when issues arise, how to diagnose, stabilize, and restore performance under pressure.
From designing production support playbooks to leading enterprise transformations, managing release cycles, and recovering from large-scale outages, I’ve built and rebuilt systems that stand up to real-world demands.
Epic EHR
Kaiser, Northwestern, UC Davis
- Epic Clarity
- SQL
- Epic Reporting Workbench
- Epic Radar Dashboards
- Tableau
- Epic Cogito Data Warehouse
- Power BI
- Epic SlicerDicer
- Excel
- Crystal Reports
SAP
Amgen
- SAP Crystal Reports
- SAP BW (Business Warehouse)
- SAP HANA Analytics
- SAP Query
- SAP Fiori Analytical Apps
- SQL (Structured Query Language)
- Power BI
- Tableau
- Excel
- ETL Tools (Data Services/LSMW)
SaaS
Ford, Projects
- SQL (Postgres/MySQL)
- Tableau
- Power BI
- Metabase
- Google Data Studio (Looker Studio)
- Supabase Dashboards
- Recharts / D3.js
- Excel (with SaaS Connectors)
- Jupyter Notebooks
- Airtable Interfaces