Case study
Internal banking platforms · Performance
Senior Frontend Engineer
By the numbers
600+
Ops / day
−62%
Load time
4s → 1.5s
Key screens
100%
TypeScript
Context
Internal platforms used daily: insurance, assistance, and banking systems. Long forms, paginated tables, and multiple REST services. 600+ customer transactions per day — slowness slows operations, not just UX.
Problem
Critical screens took ~4s to become usable: heavy first-load bundles, fetch waterfalls on mount, and expensive components over-rendered. In regulated banking, every regression requires rollback and coordination across teams.
Solution
Measurement on top 5 traffic screens (Lighthouse, Web Vitals), lazy loading of routes and secondary modules, parallel fetch for independent requests, and server-side pagination on large tables. CI/CD with strict typecheck, TDD on business logic, and Docker/Kubernetes deployment.
Architecture
Timeline
Weeks 1–2
Baseline
Measurement on high-traffic screens, metric agreement with product and backend.
Month 1–2
Optimization
Lazy routes, parallel fetch, server-side pagination on critical tables.
Month 3+
Consolidation
Performance checklist on every new feature. CI/CD and staging validation.
Stack & tools
Frontend
React · Next.js · TypeScript · Server Components
Backend & events
Node.js · REST APIs · AWS Lambda · JWT/OAuth
Infra
Docker · Kubernetes · CI/CD · Git
My role
- Frontend development in React/Next.js/TypeScript
- Performance optimization on high-traffic screens
- Collaboration with product, design, and backend in Agile sprints
- CI/CD, TDD, and SOLID principles in production code
- Integration with microservices and event-driven flows
Impact
- 600+ customer transactions processed per day
- 62% load time reduction (4s → 1.5s) on frontend applications
- Containerized microservices with Docker/Kubernetes on AWS
- Replicable performance checklist for new features