Architecture & Design Advisory
Fractional senior architect for teams that need experienced judgment without a full-time hire.
Design reviews, technology selection, ADR authorship, system audits, and the “is this the
right approach?” conversation that keeps a project from spending six months going the wrong
direction. Engagements range from a one-week assessment to ongoing weekly office hours.
What We Deliver
- Architecture decision records (ADRs) and reference architectures
- Design reviews of in-flight systems with prioritized findings
- Technology selection — cloud / database / language / framework trade-off analysis
- Technical due diligence for acquisitions and partnerships
- Fractional architect availability (weekly or on-call) for client engineering teams
Solution ArchitectureDesign Reviews
ADRsTechnology Selection
Technical Due Diligence
Engagement model: Available as one-shot assessment, weekly retainer, or fractional architect role. Often paired with hands-on delivery so the strategy and the implementation share one brain.
Custom Software Development
End-to-end build — from blank repo to production. Web applications, APIs, background services,
desktop tools, and SaaS platforms. We do enterprise .NET / C#, Go for performance-critical services,
Python for ML and data work, TypeScript across React / Angular / Vue / Blazor frontends. Stack chosen
to fit the problem, not the resume.
What We Deliver
- Greenfield SaaS and enterprise applications, spec to ship
- API design (REST, GraphQL, gRPC) and backend service development
- Frontend development across React, Angular, Vue.js, Blazor
- Background services, durable workflows, event-driven architectures
- Modernization rewrites of legacy systems with continuity guarantees
.NET 10 / C#Go
PythonTypeScript
ReactAngular
Vue.jsBlazor
Recent engagement: Grade My Investments — 195K+ lines, 596 unit tests, 4 client applications, 11 background services, all delivered in six months by a single architect using AI-first development practices.
AI-First Solutions Architecture
AI is the center of how we architect today, not a feature bolted on the side. Every system we
design starts from the question of where AI accelerates the work and where it creates risk.
We integrate Anthropic Claude (Haiku, Sonnet, Opus), build RAG pipelines, design MCP servers
with structured tool use, and engineer prompts with token-aware cost discipline.
What We Deliver
- Multi-model Claude routing (Haiku for speed, Sonnet for reasoning, Opus for depth)
- RAG architectures with embedding stores and re-ranking
- MCP server design and tool integration
- Token accounting, cost estimation, and server-side billing for AI features
- Prompt engineering with eval pipelines
ClaudeOpenAI / GPT
RAGMCP
LangChainHugging Face
Azure OpenAIAWS Bedrock
Recent engagement: Grade My Investments — production SaaS routing three Claude models per task with token-aware Stripe billing and AI file-analysis pipelines.
AI Prompt Engineering & LLM Adoption
Teach your team to use Claude, GPT, Gemini, and Mistral the way a senior engineer uses them.
Prompt design patterns, model selection (when to use Claude vs Gemini vs GPT vs an open-weight
model), eval frameworks, structured tool use, multi-turn conversation design, and the
day-to-day workflow patterns that separate “I tried ChatGPT” from real production leverage.
What We Deliver
- Hands-on prompt engineering workshops (Claude, GPT, Gemini, open-weight)
- Model selection frameworks: cost / latency / reasoning trade-offs
- Prompt templates and reusable libraries for common business tasks
- Eval pipelines that prove a prompt works before shipping it
- Tool-use and function-calling patterns (MCP, OpenAI tools, Gemini extensions)
- Vendor-neutral guidance — we’re not selling you one model
Claude (Haiku/Sonnet/Opus)GPT-4 / GPT-5
GeminiMistral
LlamaPrompt Engineering
EvalsMCP
Function Calling
Background: We use AI tools in production every day — Claude Code as a development partner, multi-model routing in our own SaaS (GMI), and prompt engineering across enterprise client engagements. We share what works and what wastes your money.
Hyperscaler Cloud Modernization
Production deployments on Azure, AWS, and Google Cloud — with the security architecture,
cost discipline, and multi-region resilience that enterprise buyers actually want. We’ve been
running production cloud workloads for 15 years across all three majors.
What We Deliver
- Greenfield architecture and lift-and-shift modernization
- Multi-region active-active and disaster recovery designs
- Security architecture: identity, secrets, network segmentation, encryption
- Cost optimization with reserved capacity, autoscaling, and right-sizing
- Hybrid Azure / on-prem deployments where compliance requires
AzureAWS
GCPApp Service
LambdaCloud Run
Application Insights
Recent engagement: Healthcare analytics platform — Azure hybrid deployment supporting heart-device data ingestion, big-data processing, and reporting.
Enterprise Migration & Modernization
Large on-prem-to-cloud and legacy-to-modern migration programs — the kind that span months
or years, touch dozens of applications, and need to keep production running the entire time.
We do the assessment, the application portfolio analysis (the AWS “7 R’s” framework:
rehost, replatform, repurchase, refactor, retain, retire, relocate), the wave planning, and
the actual hands-on execution. No consulting deck and walk-away — we ship the migration.
What We Deliver
- Application portfolio assessment with per-app disposition and cost-benefit analysis
- Wave planning, dependency mapping, and rollback strategies
- On-prem to Azure / AWS / GCP migrations (rehost, replatform, refactor, rearchitect)
- Database migration: SQL Server, Oracle, Informix, DB2, MySQL, PostgreSQL → cloud-native
- Mainframe and legacy modernization (COBOL, AS/400, midrange systems)
- Hybrid coexistence patterns and identity / network bridges during long migration windows
- Cutover orchestration with documented rollback and data-reconciliation steps
- Post-migration optimization: cost, performance, and operational runbooks
Azure MigrateAWS Migration Hub
Google MigrateDatabase Migration Service
Lift & ShiftReplatform
RefactorMainframe Modernization
Hybrid Cloud
Track record: Three decades of enterprise delivery includes on-prem-to-cloud migrations for telecom (containerization PoC), healthcare (Azure hybrid), property insurance (full Azure GIS platform), and oil & gas (Azure Durable Functions on top of legacy SQL).
Kubernetes & Microservices
Production K8s on every major cloud — AKS, EKS, GKE. We design for zero-downtime rollouts,
event-driven autoscaling with KEDA, and GitOps continuous delivery via ArgoCD and Helm.
Multi-cluster federation when scale and isolation demand it.
What We Deliver
- Cluster design, node pools, network policies, RBAC
- Helm charts and Kustomize overlays for reproducible deploys
- ArgoCD or Flux for GitOps continuous delivery
- KEDA event-driven autoscaling against Service Bus, Event Hub, RabbitMQ, etc.
- Service mesh (Istio / Linkerd) where mTLS and traffic shaping are required
KubernetesAKS
EKSGKE
HelmArgoCD
KEDAGitOps
Recent engagement: Property insurance GIS platform — AKS cluster running satellite-imagery analysis pipeline with KEDA autoscaling and Databricks integration. 50-developer team led to delivery.
ML & AI Integration
Beyond LLMs — production ML models for forecasting, classification, recommendation, and
anomaly detection. Time-series with ARIMA, Holt-Winters, Prophet, LSTM, and DeepAR.
ML.NET, PyTorch, TensorFlow. SageMaker and Azure ML for managed training and inference.
What We Deliver
- Time-series forecasting and demand prediction
- Classification, regression, recommendation models
- Production training pipelines with reproducibility and drift monitoring
- ML.NET-powered .NET applications with deterministic outputs from probabilistic inputs
- Distributed training on Ray, Anyscale, EKS
ML.NETPyTorch
TensorFlowSageMaker
Ray / AnyscaleARIMA
ProphetLSTM
DeepAR
Recent engagement: ML inventory-prediction system — distributed forecasting platform for retail demand, multiple algorithms ensemble’d for confidence scoring, deployed on AWS EKS with KEDA.
Big Data & Analytics Engineering
Petabyte-scale data platforms across the modern Microsoft and open-source stacks. Databricks,
Synapse, Azure Data Factory, BigQuery, and the full Hadoop ecosystem when legacy demands it.
We design for query performance, cost, and data-governance compliance from day one.
What We Deliver
- Lakehouse architectures on Databricks / Synapse / BigQuery
- ETL / ELT pipelines with Azure Data Factory, dbt, Airflow
- Real-time ingestion with Event Hub, Kafka, Kinesis
- Data warehouse modeling (star / snowflake / data vault)
- Hadoop / Spark / HBase for legacy or on-prem big-data workloads
DatabricksSynapse
BigQueryAzure Data Factory
HadoopSpark
PostgreSQLSQL Server
Recent engagement: Healthcare analytics platform — Hadoop ecosystem big-data pipeline processing heart-analytics device telemetry across a 160-developer program.
Mobile & Cross-Platform
Native iOS, native Android, and cross-platform from a single codebase with .NET MAUI or
React Native. We’ve shipped streaming-platform clients in Swift, Objective-C, and Java,
and we’re shipping production mobile today on .NET MAUI.
What We Deliver
- .NET MAUI cross-platform apps (iOS, Android, Windows from one codebase)
- React Native for JavaScript-stack mobile teams
- Native iOS (Swift, Objective-C) and Android (Kotlin, Java) when platform fidelity matters
- Push notifications, OAuth (Google, Apple), in-app billing
- Mobile-backend architecture with Azure Functions / API gateways
.NET MAUIReact Native
IonicAngular
iOSAndroid
SwiftObjective-C
JavaDart
Recent engagements: Streaming platform architecture — led re-architecture for a major national streaming provider; mobile clients in Swift, Objective-C, Java targeting iOS and Android. Also shipped production features on an Ionic/Angular home-services platform — cross-platform mobile and Angular web over a Node.js/TypeScript monorepo backend with MongoDB and Auth0.
Containerization & Cloud Migration
On-prem to cloud, monolith to microservice, VM to container. We’ve led containerization
proofs-of-concept on Docker, Podman, and Docker Swarm for telecom and energy clients,
and full migrations into AKS / EKS / GKE for enterprise workloads.
What We Deliver
- Application containerization (Docker, Podman, OCI images)
- On-prem to hyperscaler migration playbooks and runbooks
- Strangler-fig migrations from monolith to microservice
- Image registry, scanning, signing, and SBOM workflows
- Red Hat Linux / OpenShift container platforms for compliance-driven shops
DockerPodman
Docker SwarmOpenShift
Red Hat Linux.NET Core
Recent engagement: Telecom cloud modernization — containerization PoC for a major telecom’s core business services using .NET Core, Podman, Docker Swarm, and Red Hat Linux against SQL Server and Informix backends.
CI/CD Architecture & Release Engineering
Pipeline design that turns “deploys are scary” into “deploys are boring.”
Branching strategy, build pipelines, test gates, environment promotion, blue/green and canary
rollouts, rollback playbooks. We work across Azure DevOps, GitHub Actions, Jenkins, GitLab CI,
CircleCI, Octopus, and Spinnaker — whichever tool your team already uses or wants to use.
What We Deliver
- Branching strategy and trunk-based development workflows
- Pipeline design with parallelism, caching, and selective test execution
- Multi-environment promotion with approval gates and audit trails
- Blue/green, canary, and feature-flag deployment strategies
- Pipeline migration between platforms (e.g. Jenkins → GitHub Actions)
- Release engineering playbooks: hotfix flows, rollback procedures, change management
Azure DevOps PipelinesGitHub Actions
JenkinsGitLab CI
CircleCIOctopus Deploy
SpinnakerArgoCD
Recent engagement: This very website — Azure DevOps pipeline that builds two Blazor WASM apps and deploys to Azure Static Web Apps via SWA CLI on every master push. Fully reproducible, ~3-minute total build.
Infrastructure as Code & DevOps
Reproducible Azure / AWS / GCP environments defined in code with Pulumi or Terraform.
CI/CD pipelines on Azure DevOps, GitHub Actions, Jenkins, GitLab CI, CircleCI —
whichever your team is on. GitOps deploy with ArgoCD and Helm. Infrastructure that
deploys two complete environments from one codebase.
What We Deliver
- Pulumi (C# / TypeScript / Python / Go) and Terraform infrastructure
- CI/CD pipelines on Azure DevOps, GitHub Actions, Jenkins, GitLab CI, CircleCI, Octopus, Spinnaker
- Multi-environment management (dev / staging / prod) from a single codebase
- Secrets management (Key Vault, Secrets Manager, Vault), policy-as-code
- Observability: Application Insights, Datadog, Grafana, structured logging
PulumiTerraform
Azure DevOps PipelinesGitHub Actions
JenkinsGitLab CI
CircleCIOctopus Deploy
SpinnakerArgoCD
Recent engagement: Grade My Investments — two complete Azure environments (dev / prod) deploying 50+ resources reproducibly via Pulumi C#.
Managed Hosting & Operations
We don’t just hand you a system and walk away. For clients who want one team to design,
build, ship, AND run the whole thing, we offer fully managed hosting on Azure, AWS, or GCP.
You get an architect who knows the system inside-out and is on the hook for it 24/7 — no
throwing-it-over-the-wall, no separate ops vendor with no context.
What We Deliver
- End-to-end build and operate — design, ship, run, and evolve the system
- Managed Azure / AWS / GCP environments with subscription / account ownership options
- 24/7 on-call rotation with documented runbooks and incident response
- Application Insights / Datadog / Grafana observability with proactive alerting
- Patching, upgrade, and dependency management on a known cadence
- Quarterly architecture reviews to keep cost and complexity in check
AzureAWS
GCP24/7 On-Call
SLA HostingApplication Insights
Datadog
Engagement model: Available as a follow-on to any build engagement, or as a takeover of an existing system. Sized to client traffic and reliability requirements; transparent monthly cost breakdown.
Training & Team Mentorship
Hands-on training and mentorship for client engineering teams. AI-first development workflows
with Claude and Copilot, Kubernetes from zero to production, .NET architecture patterns,
cloud-native design, and pragmatic systems thinking. Workshop format, embedded mentorship,
or recorded curriculum — whatever fits your team’s rhythm.
What We Deliver
- Half-day to multi-week workshops on AI-first dev, Kubernetes, .NET, cloud architecture
- Embedded mentorship for 1–3 month rotations alongside a client team
- Code review programs that turn into structured developer growth
- Tech bootcamps for new engineering hires (custom curriculum)
- Recorded video curriculum and internal documentation packages
AI-First DevelopmentKubernetes
.NET ArchitectureCloud-Native
Code Review ProgramsWorkshops
Background: 30 years of mentoring engineers across teams of up to 160. Recently: authored the .NET 8 modernization playbook adopted across teams at Centene, coached client engineers through Python/FastAPI service design at FM Global, and taught working sessions on AI-assisted development workflows. From new-grad onboarding to senior architect-level coaching, the goal is the same: leave the team stronger than we found it.
