How the work gets delivered.
Disciplines are what you buy. Capabilities are how we deliver them — the platforms, practices, and tools underneath the judgment. Software is one of them, not the product.
See the four disciplinesWorking systems on the platform they run on today, not just plans to leave it. Reading and modifying COBOL and PL/I. JCL and batch scheduling. DB2 on z/OS, VSAM, and the data structures underneath. Interface and file-format work where a mainframe has to talk to something modern. Migration when migration is warranted — sustainment when it isn’t.
COBOLPL/IJCLDB2 / z/OSVSAMLegacy ModernizationTest automation across web, API, and batch. Performance and load testing that establishes real throughput ceilings rather than confirming a target. Environment and test-data management for systems where you cannot simply copy production. Regression suites built to survive the codebase they test.
Regression automationPerformanceLoad (JMeter, k6)APITest-data mgmtCurrent-state assessment and target-state architecture for organizations running a mix of old and new. Integration and interface architecture across systems that were never designed to talk. Transition sequencing — what moves first, what waits, what stays. Build-versus-buy analysis and technology selection with the reasoning documented, so the next team inherits the decision and not just the result.
Current-state assessmentTarget-stateIntegrationTransition sequencingBuild-vs-buyFull-stack application development across web, service, and mobile. API design and integration. Replatforming and rewrites where the target is a system someone else can pick up and keep running.
TypeScriptReact / Next.jsNode.NETMobileAPI designInfrastructure as code, CI/CD pipelines, containerization and orchestration. Cloud migration and landing zones. Platform work with security controls built into the pipeline rather than applied after.
AWSAzureTerraformKubernetesCI/CDLanding zonesData engineering, migration, and quality — including mainframe-to-modern data movement where the source has no schema anyone wrote down. Warehousing, streaming, and reporting.
Data engineeringWarehousingStreamingData qualityReportingAI is embedded in how we deliver — code, analysis, documentation, and research — which is why we can be specific about where it earns its place and where it produces confident nonsense. That experience transfers to client work: model-backed applications built against real workflows, retrieval over organizational knowledge, and evaluation harnesses that establish whether a system behaves as claimed rather than whether it demos well.
Model-backed appsRetrieval / RAGEvaluation harnessesHuman oversightObservational research and usability testing with the people who actually operate the system. Interaction and interface design, prototyping, and design systems that survive handoff to engineering. Accessibility audits against Section 508 and WCAG 2.2 AA, with conformance documented in a VPAT/ACR rather than asserted. Remediation of existing interfaces, and conformance built in on new ones.
UX researchInteraction designDesign systemsSection 508WCAG 2.2 AAVPAT / ACRSecurity architecture and assessment. Identity and access management. Compliance readiness for FedRAMP, SOC 2, and agency ATO processes — preparation and evidence, not certification we issue.
Security architectureIAMATO readinessFedRAMP readinessSOC 2 readiness