Full-stack development

The languages, frameworks, platforms and practices I use to build and run web and mobile applications.

Backend and RESTful APIs

Go (Golang): high-performance REST APIs and backend services, concurrency with goroutines and channels, middleware, and clean, testable service architecture
RESTful API design with NestJS and Prisma
Node.js / Express / MongoDB (MEAN stack)
Serverless functions: Supabase Edge Functions, Cloud Run functions and Firebase Cloud Functions
Real-time features with Supabase Realtime, Socket.io and Firestore listeners
Python / LangGraph agent services alongside TypeScript and Go APIs
Transactional email, inbound email parsing via webhooks, PDF generation (Playwright + Handlebars, WeasyPrint)
Google Apps Script web apps used in production for academic operations

Angular with NgRx Store, SignalStore and Signals for layered state management
Next.js applications in monorepo setups
React and TanStack Start
Tailwind CSS, responsive dashboards, admin consoles and role-based portals
UI and brand design: app icons, animated login experiences, Material Design redesigns

Flutter cross-platform apps with a Firebase backend
Ionic + Capacitor hybrid apps, including native builds with offline audio
Native Android with Kotlin and Jetpack Compose: MVVM, Room, Retrofit, Navigation, StateFlow
Push notifications (FCM), Firebase Analytics and Crashlytics, biometric login with PIN fallback
App store release management: TestFlight, App Store Connect, Google Play Console, iOS Kids Category compliance

PostgreSQL schema design at depth: row-level security, partitioning, triggers, concurrency and deadlock testing
Multi-tenant data isolation and identity modelling
Prisma ORM, Supabase, pgvector for embeddings
Firestore data modelling and security rules
Redis for caching and rate limiting
Immutable versioning, diff views and audit logs
Zero-downtime schema changes using the expand–contract pattern

Supabase as the core backend across multiple production and in-development projects
PostgreSQL on Supabase: schema design, migrations, triggers, functions and views
Row-level security policies for multi-tenant isolation and role-based data access
Supabase Auth: email, OAuth/social sign-in and SSO, with user roles tied to RLS
Supabase Storage for documents, images and media, with access policies
Database branching linked to preview deployments for safe pre-production testing

AWS: ECS, RDS, ElastiCache, S3 + CloudFront, WAF, Textract
GCP: Cloud Run, Cloud SQL, Memorystore, Cloud Storage, Firestore, Compute Engine, Vertex AI
Firebase Hosting, Auth, Storage, Firestore
Vercel, Cloudflare (R2 storage, Email Routing), Railway
Cloud cost analysis and platform selection, including regional hosting for data sovereignty

CI/CD pipelines with GitHub Actions, including automated hosting deploys and reusable workflows with least-privilege permissions
Infrastructure as Code with Terraform
Docker containerisation for backend services and local test environments
Nx monorepos with shared models, interfaces and configuration across multiple apps
Blue/green and zero-downtime deployment, preview environments, feature flags
Linux VM setup and process management (PM2, systemd)
Self-hosted GitLab administration and automation via API

SSO with Google and Microsoft
Role-based access control with multi-level role hierarchies
API hardening: WAF, rate limiting, XSS prevention, RLS policy testing
Privacy and regulatory awareness: Australian Privacy Principles, EU AI Act, healthcare identity requirements

Sentry and PostHog for error tracking and product analytics
Automated and live end-to-end testing with Playwright, Chrome DevTools, Maestro and simulator/emulator tooling
Feature inventories with traceable test cases per user role
Adversarial database testing against live PostgreSQL instances
Performance debugging and memory-leak diagnosis

LLM features in production apps: document processing, AI-assisted content drafting with human review
Agent orchestration with LangGraph, vector search with pgvector
AI-assisted marking pipelines with multi-agent workflows
MCP server integration and AI-driven development workflows (Claude Code, git worktrees, codebase knowledge graphs)

Multi-tenant SaaS architecture, multi-app monorepos, modular agent architecture
End-to-end product definition: market research → PRD → data model → target architecture
Phased delivery plans with verification checkpoints

For a software project or collaboration, write to [email protected]. The broader picture is on the Expertise page.