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FinTech·Remote (Iran)·Scale-up fintech

Next.js performance rescue, Lighthouse 55 to 95+ in a quarter

Led SSR optimization and component-library work at Azkivam, an Iranian fintech. Lighthouse scores went from 55 to 95+, feature delivery sped up 40%, and the design language landed in a 120-component Storybook.

Role:Senior Software Engineer · Azkivam (FinTech)
Lighthouse score
55 → 95+
Feature delivery speed
+40%
Components in shared library
120+
Admin panel users supported
50+

The problem

Azkivam's customer-facing application was hitting performance walls at scale. Lighthouse scores sat in the mid-50s, hydration cost was visible to users, and the component patterns across the product had drifted apart enough that feature work was slowed by re-implementing the same shapes. The team needed a performance push and a single source of truth for UI.

Constraints

  • No content rewrites — the existing pages had to keep working
  • TypeScript-strict across the monorepo
  • Cross-functional FinTech delivery with no extended freeze windows

What I built

  • 01Refactored the SSR pipeline in Next.js with TypeScript-strict rules
  • 02Stood up a 120+ component Storybook library and migrated apps onto it
  • 03Eliminated hydration bottlenecks and trimmed the JS shipped on the critical path
  • 04Standardized data-fetching and rendering patterns across modular admin panels
  • 05Worked alongside backend, design, and product teams to keep delivery flowing

Stack

Next.jsReact.jsTypeScriptStorybookNode.jsGraphQLDockerCI/CD

Engagement

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