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Case study 01 / MagicStudio

Building InstaHeadshots

Built a stronger AI-headshot product foundation on Next.js and TypeScript, improving page-load performance, maintainability, and the team's delivery workflow.

RoleLead Frontend Engineer
TimelineApr 2025 – present
FocusFrontend architecture · Performance · Product delivery
Next.jsnew frontend foundation
5engineers in the delivery team
E2Eownership from discovery to rollout
01 / Context

The product needed a stronger foundation.

InstaHeadshots is an AI-powered product with conversion-critical flows spanning upload, generation, review, and delivery. The frontend needed better page-load performance and a structure that would remain maintainable as the product and team evolved.

02 / What I did

A rebuild connected to product delivery.

I rebuilt InstaHeadshots on Next.js and TypeScript while partnering with product, design, backend, and machine-learning teams across discovery, technical planning, and production rollout. I also built reusable component systems and internal developer workflows to remove duplicate effort across the product teams.

03 / Decisions

The choices behind the product.

01

Rebuild on Next.js and TypeScript for long-term maintainability.

02

Treat page-load performance as part of the conversion experience.

03

Remove duplicate effort with shared components and clearer workflows.

04 / Outcome

A faster product and a more effective team.

The new foundation improved page-load performance and long-term maintainability. Shared components and clearer engineering workflows increased delivery velocity, while A/B tests and analytics instrumentation connected frontend decisions to conversion and revenue outcomes.

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