Senior Software Engineer / Staff-Level Contributor
Architecture, production problem solving, legacy modernization, distributed services, SQL, messaging, code review, and cross-team technical leadership.
I design, build, and modernize complex software systems with a practical, long-term mindset. AI is my assistant and battle buddy for testing, analysis, review, and validation. No vibe coding. Just engineered software that survives production.
Experience, technical depth, selected work, architecture, leadership, and the technologies I use every day.
Explore my engineering career →Architecture, implementation, modernization, technical leadership, and ongoing support without adding another full-time engineer to payroll.
Explore engineering services →Senior engineering experience spanning legacy systems, distributed applications, Azure, product development, performance work, integrations, and technical leadership.
Architecture, production problem solving, legacy modernization, distributed services, SQL, messaging, code review, and cross-team technical leadership.
Enterprise software, cloud services, integrations, desktop applications, automation, and high-impact engineering across multiple industries.
Full-stack development, firmware-adjacent work, drivers, hardware integration, workflow automation, and customer-facing systems.
Architecture, development, modernization, cloud, systems work, integrations, and technical leadership across the software lifecycle.
Boundaries, messaging, persistence, distributed systems, maintainability, observability.
Modern .NET, legacy .NET, services, APIs, WPF, backend systems, enterprise applications.
Systems work, performance-sensitive components, interop, native applications, hardware-adjacent development.
Cloud-native systems, services, storage, deployment, modernization, operational design.
REST, services, messaging, third-party platforms, system boundaries, workflow automation.
SQL Server, PostgreSQL, schema design, query tuning, data pipelines, persistence strategy.
Legacy rescue, decomposition, refactoring, platform transitions, technical debt strategy.
Mentoring, code reviews, architecture guidance, debugging, delivery support, team enablement.
A portfolio of the kinds of systems I’ve designed, modernized, debugged, and delivered. Case studies can expand into detailed engineering write-ups later.
Architecture and production engineering work focused on reliability, performance, maintainability, and safe modernization.
Discuss this work →Service boundaries, APIs, messaging, persistence, observability, and production diagnostics across distributed systems.
Discuss this work →Desktop software, native interop, device-facing components, performance work, and practical debugging across software/hardware boundaries.
Discuss this work →Sometimes you don't need another permanent engineer. You need the right engineer for the problem, for the project, or for a predictable slice of every month.
I can step in as an architect, senior individual contributor, technical advisor, implementation partner, or long-term software steward.
For teams that need experienced technical direction before committing months of engineering time.
Bring the problem, requirements, or specification. I can turn it into a scoped engineering project and deliver the system.
Senior engineering capacity that plugs into your team for a defined amount of time each week or month.
When the system makes money, matters to the business, and everyone is terrified to touch it.
An ongoing engineering relationship after launch, or for businesses that already have software but no dedicated senior engineer.
Practical training based on real engineering work, not a slide deck full of theory and buzzwords.
The engagement should match the work. You shouldn't have to hire a full-time employee just to solve a six-week architecture problem, ship one internal platform, or keep an existing system healthy.
Best for architecture, debugging, reviews, advisory work, technical planning, and problems with uncertain scope.
We define the requirements, technical approach, deliverables, milestones, and acceptance criteria before work begins.
Reserved monthly engineering capacity for enhancements, maintenance, technical planning, support, and continued evolution.
A predictable block of weekly or monthly engineering capacity integrated directly with your team and workflow.
AI assists research, test generation, edge-case analysis, review, documentation, and validation. Architecture, implementation decisions, code ownership, testing judgment, and production accountability remain in human hands.
Whether you’re hiring for a senior/staff engineering role, need a consultant, or want a custom system built, I’m open to the conversation.