Technical project and cloud operations leader
I am an AI-forward technical project manager and cloud operations lead with experience engineering AWS and Azure infrastructure, guiding software delivery, optimizing cloud consumption, and building effective teams.
Selected results from cloud operations, delivery, and team leadership.
Select an outcome to read its decision record.
I reduced a project budget from >$200,000 to $62,000.
I reduced annual cloud spending by >20% while managing a >$1 million budget with under 1% variance.
I used monitoring data and workflow improvements to drive >$100,000/year in labor savings.
I maintained 0% turnover across a 12-month period while achieving 100% of project KPIs over multiple years.
Outcome: I reduced the project budget by 69%, from >$200,000 to $62,000.
Signal: A cloud project needed to meet a materially smaller delivery budget while preserving a resilient AWS environment.
Decision: I applied EC2 rightsizing, ARM migration, and AWS Savings Plans as part of a focused cost-optimization strategy.
Outcome: I managed a >$1 million budget with under 1% variance while reducing annual cloud spending by >20%.
Signal: Legacy on-premises systems needed to move to a Dynamics 365 environment with an enterprise-scale Azure operating model.
Decision: I directed the Azure migration and instituted consumption reviews, auto-shutdowns, and instance rightsizing.
Outcome: I drove >$100,000/year in labor savings through monitoring-led workflow improvements.
Signal: A global Dynamics 365 environment needed stronger observability and faster root-cause analysis across more than 40,000 active users.
Decision: I implemented infrastructure resource monitoring and used the resulting operational data to improve team allocation and workflows.
Outcome: I achieved 100% of project KPIs over multiple years and maintained 0% turnover across a 12-month period.
Signal: High-performing engineering teams needed consistent delivery against project commitments while sustaining healthy team continuity.
Decision: I led teams through clear delivery goals, operational practices, and cross-functional coordination.
I lead by connecting resilient cloud operations, disciplined software delivery, responsible AI experimentation, and empowered teams.
Resilient operations keep systems dependable and financially accountable; disciplined delivery turns sound architecture into repeatable outcomes; responsible AI experimentation makes new capabilities useful without outrunning the evidence; and empowered teams create the clarity and autonomy to sustain delivery.
My role is to make those connections visible in the decisions, measures, and working habits that move a team forward.
Four connected disciplines shape how I turn technical decisions into dependable outcomes.
Make infrastructure resilient, observable, and financially accountable.
How this shows up: I lead AWS and Azure platform operations, infrastructure automation, enterprise integrations, and FinOps practices across complex environments.
Evidence: I managed a highly resilient Multi-AZ AWS environment and forecasted a cloud budget above $1 million with under 1% variance.
Use grounded experimentation to make AI useful and explainable.
How this shows up: I designed and built a proof of concept that assigned ICD-10 codes to medical records using grounded knowledge sources.
Evidence: I keep this work scoped as a proof of concept for responsible, knowledge-grounded AI integration.
Turn architecture and delivery practices into repeatable outcomes.
How this shows up: I guide greenfield cloud architecture, CI/CD modernization, configuration management, and vendor or CRM integrations.
Evidence: I migrated delivery workflows from Azure Pipelines to GitHub Actions and standardized infrastructure deployment with modular CloudFormation.
Create the clarity and autonomy teams need to deliver consistently.
How this shows up: I lead Agile engineering teams through measurable delivery goals, operational change, and sustainable team practices.
Evidence: Engineering teams I led achieved 100% of project KPIs over a multi-year span with 0% turnover across a 12-month period.
Tools I built to test secure agent workflows and turn ambitious product ideas into usable software.
I built a pre-install gate that resolves Python dependencies and checks canonical package hashes before pip can execute third-party code.
I designed the scanner for autonomous development environments where an agent can install a misspelled, hallucinated, or newly published package without a human reviewing it first.
The CLI can fail closed on artifacts without an established reputation or isolate an artifact in a constrained Docker sandbox for further analysis.
I built a browser-based SNES and PS1 emulator proof of concept with WebAssembly cores, controller mapping, local save states, and touch-first layouts.
I built Retro2K with my daughter to test whether agentic steering could support a complete product workflow from interface concept through integration and refinement.
It is an open-source emulator frontend: it does not distribute commercial games, and users are responsible for providing legally acquired backups.
My experience spans AWS and Azure platform operations, enterprise Dynamics 365 platform management, cloud FinOps, and Agile engineering leadership.
– Present
General Dynamics IT
I lead AWS infrastructure and Salesforce operations for government clients.
I managed a highly resilient Multi-AZ AWS environment with EC2, Lambda, S3, and Bedrock.
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Procentrix
I directed Azure architecture, migration, FinOps governance, DevOps transformation, and engineering teams.
I built Azure hub-and-spoke infrastructure to migrate legacy on-premises systems to Dynamics 365.
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General Dynamics IT
I directed two Agile teams supporting a global Microsoft Dynamics 365 enterprise environment.
I scaled operations to support over 40,000 active users and improved observability and root-cause analysis.
For technical leadership, cloud operations, software delivery, or team effectiveness conversations, connect directly.
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