Enterprise IT, Delivered End-to-End
Business Architecture through IT Operations and Sustainment. TOGAF-anchored, AI-augmented, senior-led — the full IT lifecycle under one delivery team.
Business Architecture
Establishing the business context that technology must serve — capabilities, processes, stakeholders, and strategic outcomes — before the first technology decision is made.
Mapping business capabilities to strategic outcomes. Capability heat maps, capability-to-process-to-application traceability, and gap analysis as the foundation for technology investment prioritization.
Process mapping and optimization using BPMN 2.0. Identifying automation candidates, handoff friction, and cycle-time drivers. Current-state and target-state process models that inform integration and software design downstream.
Governance forum design, decision rights modeling (RACI, RAPID), stakeholder communication patterns. Clarifying who decides what, on which cadence, with which evidence.
Translating strategic objectives into investment portfolios, capability roadmaps, and technology priorities. Keeping engineering work measurably connected to the outcomes that sponsored it.
Technology Architecture
Enterprise and solution architecture that turns business capability requirements into standards-based, governable technology plans — TOGAF-anchored throughout.
Full ADM lifecycle support, Phases A through H. Architecture Board establishment, artifact templates, compliance review, and traceability from business capabilities to technology components. Operational today in the Enterprise Solutions TOGAF Copilot across twenty-one bounded contexts.
Standing up or maturing EA practices for agencies and enterprises. Architect coaching, governance model design, maturity roadmaps, and operational rhythms that turn EA from a documentation exercise into a decision-support capability.
Integration design, solution decomposition, Architecture Decision Records (ADRs), and technology selection rationale. Designs that read as plans, not art — with the ADRs that justify every significant decision.
Multi-year technology roadmaps, target-state architectures, transition-state planning, and investment sequencing. Roadmaps that survive contact with annual budget cycles and program-office leadership turnover.
Solution & Software Design
Model-based design that carries business and architecture intent into implementable software — without translation loss between modelers, designers, and engineers.
UML 2 for software structure and behavior where complexity warrants. Use case modeling, class and sequence diagrams, state models, and component diagrams. Models are design artifacts, not after-the-fact documentation.
API design (REST, GraphQL, async events), data contracts, integration patterns, and anti-corruption layers between legacy and modern systems. Bridge-style integrations that let modernization happen incrementally.
Polyglot data strategy (PostgreSQL, Neo4j, MongoDB), data modeling, migration design, and data quality frameworks. Data architecture that anticipates analytics, reporting, and cross-system querying from day one.
Threat modeling (STRIDE), zero-trust patterns, authentication and authorization design integrated from the earliest modeling phases. Security is designed in, not retrofitted after integration testing finds it missing.
Software Development
Full-stack AI-augmented software delivery. Senior engineers plus agentic AI producing production-grade output at fixed-price economics.
Python (FastAPI) on the backend, TypeScript (React) on the frontend, PostgreSQL for relational data, Neo4j for graph, MongoDB for document, Docker for containerization, Azure for cloud. Nine production applications built in eight months across this stack.
Role-specialized agent teams accelerating analysis, documentation, code generation, and review. Prompt caching and multi-provider routing engineered in to keep LLM operating costs predictable. This is the methodology that lets fixed-price delivery scale to program work — see the Excellence pillar for the full approach.
Delivery cadence matched to the program's rhythm. Backlog discipline, sprint governance, and scaled-Agile coordination where multiple teams work in parallel. Waterfall and hybrid patterns supported where acquisition milestones demand them.
2,100+ automated Playwright tests across the RDS portfolio. CI/CD enforced on every repository. Integration, regression, and compliance gates run in the pipeline. No capability ships without its own test coverage.
Deployment & Integration
Production rollout, environment promotion, and legacy integration with the operational discipline expected on enterprise-scale programs.
Three deployment targets operational today: on-premise, Azure Commercial, and Azure GCC High. All managed as infrastructure-as-code (Terraform and Bicep). CMMC L2 operational on the GCC High path for ITAR and CUI workloads.
GitHub Actions pipelines across every repository. Automated build, test, and deploy. Blue-green and canary deployment patterns where the risk profile warrants. Rollback discipline built into every release path.
Anti-corruption layers, strangler-fig migration patterns, and data bridges that let modernization happen while legacy systems keep operating. Phased cutover design preserves operational continuity throughout the transition.
Go/no-go criteria, dress-rehearsal testing, stakeholder communication plans, and incident-response readiness before any production cut. Runbooks and escalation paths documented before the change window opens.
IT Operations & Sustainment
Post-deployment operations, sustainment engineering, and continuous improvement — keeping delivered capabilities operating at mission tempo long after go-live.
Incident, problem, change, and configuration management aligned to ITIL v4 practices. Runbooks, playbooks, and operational rhythms designed around the program's cadence and service expectations.
Distributed tracing (OpenTelemetry), metrics (Prometheus), dashboards (Grafana), and structured logging throughout. Operational truth available to every stakeholder — from engineers on-call to program leadership reading the weekly status.
Defect resolution, minor enhancement development, technology refresh planning, and dependency modernization. Sustainment scoped and priced as a first-class capability, not as uncommitted overhead.
Blameless post-incident reviews, operational metrics-driven improvements, capacity planning, and cost optimization against usage data. The engineering loop that drives continuous improvement of production systems.
Past Performance
The anchor enterprise-architecture engagement below directly informs RDS's current Enterprise Solutions platform — a TOGAF ADM copilot with automated Architecture Review Board governance across twenty-one bounded contexts, proven in production before offered to customers.
RTX Technology Research Center — Associate Director (2022–2025)
At RTX Corporation's Raytheon Technology Research Center, RDS's principal led two research teams (Architecture and Analytics) spanning MBSE, product lifecycle engineering, and ontology-driven knowledge graphs for engine prognostics — directing an annual research investment up to $1.5M and up to 5 cross-functional engineers. Delivered architecture roadmaps, technology assessments, and research program governance; established an MBSE practice adopted across the research portfolio.
Modernize with One Senior-Led Team
Business Architecture through Sustainment. Fixed-price, AI-augmented, CMMC L2 operational — no post-award compliance ramp.