Frontend Architecture
Scalable Angular, React and Next.js applications with SSR, reusable component systems, maintainable state architecture and production-focused performance.
Senior Software Engineer and Team Lead with 6+ years building and scaling eCommerce, full-stack, mobile, SSR, and AI-enabled products with Angular, React, Next.js, Node.js, and NestJS.
$ init --stack=frontend+fullstack+ai --years=6
✓ Angular + Next.js + Node.js ready
✓ GraphQL + Redis + SSR connected
✓ Mobile + eCommerce + LLM workflows ready
$ deploy --target=production --optimize
Building reliable product experiences...
✓ CI/CD validation complete
$ ship --regions=global --available=remote
✓ Ready to build the next product
Scalable Angular, React and Next.js applications with SSR, reusable component systems, maintainable state architecture and production-focused performance.
Node.js and NestJS systems using REST, GraphQL, Redis and microservice-oriented architecture.
Production eCommerce applications including complex checkout flows, Stripe integrations, product catalogues, Magento/GraphQL and analytics.
Ionic and Capacitor applications with Android and iOS integrations and hybrid delivery workflows.
Next.js SSR, Angular SSR, hydration debugging, caching and Core Web Vitals optimisation for production traffic.
Applied LLM integrations, prompt engineering, structured outputs, PDF processing, RAG concepts and intelligent automation.
I own frontend and full-stack decisions from component boundaries and state flow through SSR, APIs, caching and deployment.
Experience resolving hydration mismatches, checkout race conditions, session-state issues and performance bottlenecks under real traffic.
Team leadership, code review, technical mentoring and cross-functional delivery with backend and DevOps colleagues.
Core Web Vitals improvements, caching strategy and build/deployment automation tied to measurable production outcomes.
Frontend, backend, hybrid mobile, eCommerce, payments, analytics and applied AI — with a consistent focus on maintainable systems.
AI work is designed around structured outputs, evidence-backed rewriting, validation and controlled provider fallbacks rather than exaggerated capability claims.
Full-time, contract, or project-based — let's talk about the product and the engineering challenge.