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Summary
Senior Software Engineer with 10+ years designing, developing, and supporting enterprise software across tax technology and healthcare technology. Proven record maintaining and modernizing commercial tax products including H&R Block Professional and ATX Tax Software within Wolters Kluwer's Tax & Accounting division. Experienced in applying agentic AI systems to accelerate engineering workflows, automate documentation, strengthen code analysis, and improve production support — delivering secure, scalable applications that support regulatory compliance and the people who rely on them.
Experience
Senior Software Engineer — Wolters Kluwer, Tax & Accounting Division
September 2019 – September 2026
- Designed, developed, tested, deployed, and maintained enterprise applications supporting tax preparation and compliance.
- Developed and enhanced commercial tax products — H&R Block Professional and ATX Tax Software — used by tax professionals and accounting firms.
- Built scalable, secure .NET applications, backend services, and APIs aligned with business and technical requirements.
- Supported Azure DevOps CI/CD pipelines, release validation, deployments, and production monitoring.
- Served as subject matter expert and primary maintainer for multiple business-critical applications and services.
- Conducted peer code reviews and promoted secure development practices using SonarQube and Black Duck.
- Optimized performance through refactoring, database tuning, monitoring, and automation.
- Created and maintained technical documentation and process diagrams in Confluence, Visio, and Lucidchart.
Agentic AI and Claude integration — Wolters Kluwer
Within the Senior Software Engineer role
- Introduced AI-augmented engineering workflows that reduced documentation and analysis time across multiple tax software teams.
- Applied Anthropic Claude and GPT to automated code review, API documentation generation, and requirements analysis.
- Built internal AI-assisted utilities for defect triage, tax compliance rule summarization, and technical design artifacts.
- Used AI to support CI/CD readiness checks, release note preparation, and production root-cause analysis.
- Partnered with architects and product owners to adopt AI-driven practices aligned with secure SDLC and compliance standards.
Software Engineer — Zelis Healthcare
June 2015 – September 2019
- Designed and maintained enterprise healthcare applications in C#, .NET, SQL Server, and Azure.
- Automated operational processes, reducing manual effort and improving processing accuracy.
- Developed and optimized stored procedures and database objects for high-volume healthcare transaction processing.
- Designed and maintained SSIS ETL solutions for large-scale integration, transformation, and migration.
- Built SSRS and SharePoint reporting; supported Azure-hosted applications through deployments and database migrations.
- Mentored junior engineers and contributed to architecture and design discussions.
IT Intern — Zelis Healthcare, formerly GlobalCare
June 2013 – June 2015
- Supported development and operations teams in HIPAA-compliant healthcare environments.
- Collaborated with trading partners on end-to-end EDI testing and implementation.
- Mapped HCFA 1500 and ANSI X12 datasets; built XML and X12 mappings with Software AG webMethods.
- Created PowerShell and batch automation that reduced manual administrative workload.
Education
B.S., Computer Science — Kennesaw State University
May 2015
Technical skills
Languages: C#, SQL, PowerShell, XML. Frameworks: .NET Framework, .NET Core, ASP.NET, REST APIs, Windows Services. Cloud & DevOps: Microsoft Azure, Azure DevOps, CI/CD, Git. Databases: SQL Server, stored procedures, query optimization, database design, performance tuning. Data & integration: SSIS, ETL, data migration, EDI, ANSI X12, XML. Reporting & collaboration: SSRS, SharePoint, Confluence, Visio, Lucidchart. Security & quality: SonarQube, Black Duck, secure SDLC. AI & automation: agentic AI workflows, Anthropic Claude, GPT, AI-assisted code analysis, AI-driven documentation, AI-augmented production support. Methodologies: Agile, Scrum, SDLC.