Data · Applications · AI-Accelerated Delivery
Technology built for real-world use.
I build and modernize data products, workflow applications, and operational software, then lead the testing, packaging, and implementation work that makes them usable in practice.
Data and technical delivery leader for complex healthcare and public-sector systems.
Charlotte, NC · Open to relocation
About
From ambiguity to working technology.
I work across data, applications, AI-assisted software development, and delivery, translating ambiguous operational problems into tools that people can use, trust, and sustain.
My experience includes modernizing a machine-learning application, automating data pipelines, building executive analytics, developing clinician-facing workflow tools, and leading readiness for a national service transition.
I currently work at a large government consulting firm, where I have spent more than eight years supporting complex healthcare and public-health environments. I often work where technical execution meets stakeholder needs: deciding what should be built and what it will take to succeed in practice.
Capabilities
Technical range, anchored in delivery.
I am most useful on problems that cut across data, software, and the people who rely on them.
Data & modeling
- Python, pandas & SQL
- Power BI & Tableau
- Forecasting & Monte Carlo simulation
- Data quality, automation & analysis
Applications & AI
- ML application modernization
- Python, Flask & JavaScript workflows
- AI-assisted software development
- Power Apps, SharePoint & Microsoft Lists
Release & delivery
- Containerized & local deployment
- UAT, regression & workflow testing
- Release readiness & packaging
- Documentation for nontechnical users
Product & operations
- Stakeholder discovery & executive engagement
- Business process analysis & improvement
- Change management & implementation
- Alternatives analysis & decision support
Selected work
Projects taken from analysis to production.
Four examples spanning discovery, technical execution, validation, and implementation.
TowerScout: from research prototype to release-ready
Modernized a computer-vision research application into a packaged, locally deployable application designed for nontechnical pilot users.
ImpactResolved 90% of major workflow issues and delivered a Windows pilot path now in user testing.
Read full case study
- Challenge
- TowerScout identifies cooling towers in aerial imagery to support state and local Legionnaires' disease outbreak investigators. It began as a successful research project. As interest grew, complex setup and technical prerequisites became the main barriers to adoption.
- Contribution
- I led the modernization workstream, using AI-assisted development under structured human review to map the inherited codebase, plan and implement fixes, and validate behavior. Building on the original team's foundation, I resolved 90% of the major workflow issues surfaced in user-journey testing and replaced routine configuration-file editing with guided first-launch setup. I also reworked how search areas were tracked so processing matched what users drew on the map.
- Result
- I delivered and validated a Windows pilot path with containerized runtime support, readiness checks, checksum-verified assets, plain-language documentation, and UAT criteria for nontechnical testers. The application is now in user testing.
988: forecasting a national crisis line's biggest change
Built the forecasting foundation and helped lead the operational readiness work behind a high-visibility national service transition.
ImpactForecasts anchored national staffing and readiness planning; 988 launched on schedule in July 2022.
Read full case study
- Challenge
- A national crisis line needed to understand how a new three-digit number could change contact volume because staffing, technology support, and operational readiness all depended on the answer.
- Contribution
- Working within the program management team, I designed and built the Monte Carlo simulation behind the volume projections, incorporating growth trends, market saturation, and international precedent. I presented the methodology to senior executive leadership, earned approval for the planning assumptions, led cross-functional readiness workstreams, and developed the alternatives analysis for text and chat operations.
- Result
- The projections anchored staffing and readiness planning, 988 went live on schedule in July 2022, and the client concluded that the organization had been overprepared rather than underprepared.
Clinical and operational tools built into the workday
Created analytics and workflow tools that helped clinicians, hospital leaders, and innovation teams make decisions inside the systems they already used.
ImpactThree toolsets entered production, supporting clinical guidance, quality reporting, and innovation governance.
Read full case study
- Challenge
- Three separate program offices in the same healthcare system faced versions of the same problem: important knowledge and operational data were trapped in long-form documents, legacy reports, and manual review processes that did not fit how people worked.
- Contribution
Clinical guidance & decision supportFor a specialty-care office, I transformed long-form clinical guidance into an interactive SharePoint knowledge base that clinicians can consult mid-visit. I then built Power Apps decision-support and asynchronous voting tools that formalized how the subject-matter expert group reviews research and drafts recommendations.
Quality & operational reportingFor a regional Quality Management Office, our team replaced legacy dashboards with near-real-time Power BI reporting. I led the reports that gave hospital leadership a live view of quality performance and document-review bottlenecks.
Innovation governanceFor the system's innovation office, I maintained the project portfolio dashboard and developed ad hoc views to support governance decisions across a multimillion-dollar portfolio.
- Result
- All three toolsets entered production use: the research process now underpins two additional peer-reviewed guidance papers, hospital leadership gained live quality visibility, and the portfolio dashboard supported a functioning governance model. The clinician team sent direct written praise.
Data-driven modernization at national scale
Turned fragmented operational data and local practices into decision-ready analysis, automation, dashboards, and a repeatable regional transition model.
ImpactCut a 6–8-hour reporting process to minutes and transitioned eight sites successfully.
Read full case study
- Challenge
- A national healthcare system set out to modernize operations across more than 170 medical centers. It lacked a consistent view of maturity and performance, recurring reports took days of manual effort, and each region operated differently.
- Contribution
Baseline & analysisServing as the data lead across several team engagements, I led analysis of a field survey of more than 450 respondents, converting qualitative responses into weighted maturity scoring across nine core elements for executive review.
Automation & reportingI automated recurring performance reporting with Python and built Tableau dashboards for COVID-19 operations; the dashboards were briefed weekly to the department's most senior leadership.
Regional consolidationI later project-managed one region's consolidation across eight historically siloed medical centers as they adopted a new enterprise platform, sequencing site transitions and addressing risks before they became incidents.
- Result
- The survey gave executives their first system-wide maturity view, and automation cut a 6–8-hour process to minutes. All eight sites transitioned successfully, and other regions reused the consolidation artifacts as a template for their own transitions.
Approach
How I move ambiguous work into production.
The work has ranged from a crisis line to a hospital network to a public-health application. The operating principles stay the same.
01
Discovery before delivery
Every legacy system has a folklore layer: decisions that once made sense for reasons nobody documented. I start by comparing what really happens with what the documentation claims, whether that means synthesizing more than 80 staff interviews or tracing execution paths through an inherited codebase. The goal is a prioritized backlog small enough to execute well.
02
Right-size the tool
The best solution is one the organization can use and sustain. The 988 model lived in Excel because executives needed to interrogate it. Repetitive reporting moved to Python because manual processing consumed a workday. Clinician workflows used Microsoft tools already embedded in the workday, allowing me to tailor solutions the client could confidently manage after handoff. TowerScout required containers, packaging, and readiness checks because a research workflow would not survive contact with nontechnical users.
03
Adoption is the finish line
A tool that ships but is not used is still unfinished. I treat the last mile as part of the product: plain-language guides, workflow-based testing, support-friendly diagnostics, and handoff materials written for the person who will own the solution. Walking the full user journey often reveals failures that isolated technical tests miss.
04
AI-accelerated, human-accountable
I use AI coding tools daily for codebase discovery, task planning, drafting, test scaffolding, and first-pass diagnosis. They accelerate the work; they do not inherit the responsibility. User-visible behavior, configuration, and releases still pass through human review and structured testing. My rule is simple: I ship nothing I cannot explain, defend, and debug without the AI in the room.
Recognition
Trusted with the hard, ambiguous work.
Recognized through multiple performance and team awards spanning simulation modeling, analytics, clinical workflow tools, and application modernization.
“Gratitude to Jono for continuously going above and beyond in his thoughtful, generalizable and impactful Decision Support Tool creation, so that future teams will be empowered.”
— Client clinician team
“When we met with the client they were crystal clear that maintaining [the firm] meant maintaining Jono. That is a very strong testament to the quality of work he has been delivering.”
— Program Manager, consulting firm
“His ability to take high-level visions and transform them into thoughtful, high-quality deliverables made him one of the most valuable members of a very talented team.”
— Project colleague, consulting firm