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Nash Software Services
NASHSOFTWARE SERVICES
Case Studies

Work

Client engagements, technical turnarounds, and products I've shipped.

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Fractional CTOZero to MVP
Fractional CTO - Early-Stage SaaS Startup
NDA'd
Situation

Early-stage SaaS startup with no product, no engineering team, and no technical leadership. Needed someone to own the entire technical build through to pre-seed.

What I did

Sole technical leader. Defined the architecture from scratch — .NET 9 monorepo with DDD, serverless Lambdas on AWS, MongoDB, React/Next.js. Designed for scale from the start — thousands of organisations and millions of end users, without overengineering for day one. Designed and integrated AI into the core product — intelligent assistant, workflow automation, and context-aware suggestions. Built the MVP end-to-end — domain logic, auth, data model, frontend, deployment infrastructure. Established engineering practices: CI/CD, Terraform, feature flags, OpenTelemetry. Worked directly with the founder on product strategy and investor-facing technical narrative.

Outcome

Zero to working MVP. Company secured pre-seed funding. Architecture designed for long-term scalability without premature complexity.

.NET 9React/Next.jsTailwind CSSAWSMongoDBTerraformGitHub ActionsLLM integrationAI workflow automation
Engineering LeadershipTechnical Turnaround
Technical Turnaround - Software Services Division
Lancom Technology
Situation

A 20-person software services division bleeding money. A .NET upgrade project was nine months behind, over budget, and dragging billable developers off other work. Division profitability: -630%.

What I did

Diagnosed the bottlenecks - the microservices feedback loop was killing velocity. Built internal tooling for instant cross-service feedback, resolved Entity Framework Core migration issues, implemented Scrum, optimised AWS infrastructure, and built a testing roadmap. Also acted as technical sales engineer on proposals from $10k - $500k.

Outcome

Division profitability: -630% → +36% in six months. Stalled project back to billable work within three months. Promoted to Head of Software Services.

.NET 6/7AngularReactAWS (ECS, Lambda, RDS, DynamoDB, CloudWatch, CodePipeline)Entity FrameworkMySQL
Full-StackGovernmentEnd-to-End Delivery
State-Wide Government Platform
State Government · Engaged through NTT (Fortune 500)
Situation

A state government needed a debt management platform serving millions of citizens, including migration from legacy identity systems.

What I did

Sole delivery lead. Designed the full system — architecture, Azure B2C auth with custom MFA and just-in-time user migration, built for reuse across future government projects. Worked directly with the department head and UX designers. Delivered ~70% before bringing in additional engineers.

Outcome

Production platform serving millions of citizens. Auth system handled legacy migration without downtime. Architecture reused on subsequent projects.

.NET CoreAngular 12Azure (B2C, Functions, API Management)NPM
Cloud MigrationComplianceLegacy Modernisation
Legacy Platform Migration - Dexus
Dexus (ASX-listed, ~$50B+ in assets)
Situation

Dexus needed to decommission a legacy registry platform and migrate hundreds of thousands of records to a third-party system - governed by GS007 financial assurance standards. No CI/CD, no automated testing, risky manual database fixes.

What I did

Primary developer and technical lead on the full migration. Introduced CI/CD and automated testing where there was none. Migrated 3 legacy VB.NET/C++ services to .NET Core microservices. Automated risky manual database operations. Built document extraction with encryption, an Azure APIM gateway, and PowerApps for Dynamics 365 sync. Handled all GS007 compliance.

Outcome

Hundreds of thousands of records migrated for one of Australia's largest property companies. Legacy services modernised. Manual risk eliminated. Full compliance maintained.

.NET CoreVB.NETC++T-SQLAzure (Pipelines, APIM, PowerApps)Dynamics 365xUnit
ArchitectureCloud MigrationEnterprise
Enterprise Microservices Migration - Kalibrate
Kalibrate
Situation

Kalibrate needed to move from a monolith to microservices in Azure. A multi-billion-pound client required bespoke SSO supporting multiple identity providers.

What I did

Technical lead. Designed and built an identity broker supporting SAML and OIDC for Azure AD and other providers. Led the migration to a multi-tenant PaaS with event-driven architecture (Azure Service Bus). Introduced Terraform for IaC. Mentored junior developers.

Outcome

Monolith successfully migrated to microservices. Enterprise SSO delivered. Infrastructure codified with Terraform.

.NET CoreAngularReact/ReduxAzure (B2C, Functions, Service Bus, Key Vault)TerraformJenkins
Problem SolvingAWSData Recovery
Data Integrity Crisis - Agriculture SaaS
Agriculture SaaS · Engaged through Lancom
Situation

An agriculture SaaS platform had critical data integrity issues - DynamoDB records inconsistent with external systems, cross-application conflicts causing data loss.

What I did

Investigated and reconciled DynamoDB inconsistencies using Python. Implemented optimistic locking, GraphQL mutation fixes, and UX workflow changes to prevent overwrites. Reviewed the full stack (React Native, AWS microservices) and proposed observability improvements.

Outcome

Data integrity restored. Systemic causes fixed. Platform significantly more resilient.

ReactNext.jsReact NativeAWS (Lambda, DynamoDB, API Gateway, Cognito)Amplify GraphQLPython

Own products

Alongside client work, I build and ship my own products. Same stack, same standards, same AI-assisted workflow.

In development

Optimal You

Most fitness apps silo your training from your recovery. Optimal You bridges them - using AI to connect your movement patterns, correctives, and somatic work into one adaptive system.

  • AI analysis of movement patterns and postural compensations
  • Unified training, correctives, and somatic recovery - in one system
  • Built for athletes who train seriously and want to keep training
Learn more

Get notified when this launches

Controlled beta

Agent Control Room

Running AI agents without visibility is flying blind. ACR gives you a real-time view of every agent run - what happened, what was decided, and where things went wrong.

  • Multi-agent orchestration and monitoring
  • Real-time pipeline visibility with full audit trail
  • Human intervention workflows built in
Learn more

Get notified when this launches

Some engagements are NDA'd — details anonymised accordingly. If you want to talk through relevant experience for your specific problem, get in touch.

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