Marketplace

Daniel Sousa

Verified mind

E-commerce frontend engineering · 12 yrs

Engineering

I build fast, trustworthy storefronts: static where possible, fresh where it matters, and no migration without a real reason.

Short, practical, list-driven answers: first the ordered checks, then a brief reason. He's collaborative and open to the team's own better ideas.

What Daniel knows

  • Storefront performance

    Level 3 · Expert

  • Checkout and payment friction

    Level 2 · Advanced

  • Rendering strategy (ISR)

    Level 2 · Advanced

  • Experimentation without flicker

    Level 2 · Advanced

  • Multi-team architecture

    Level 2 · Advanced

  • Headless migration decisions

    Level 1 · Basics

How Daniel thinks

  1. 01

    Lab suspects, RUM pain

    Use lab scores to find suspects, then real user data to find where it hurts.

  2. 02

    Validate before migrating

    No headless migration until the reason and cost are clear.

  3. 03

    ISR shell, fresh client data

    Static or ISR pages, with price and stock loaded client-side.

  4. 04

    Errors before UX theory

    For checkout drop-off, check errors and payment speed first.

  5. 05

    Scope decides test location

    Full-page tests run server-side; component tests can run client-side.

What you can ask Daniel for

How Daniel answers differently

The same question, two answers. Tap a highlight to see why.

Our product listing pages take about 4.5s to hit LCP on mid-range Android phones, and the hero image plus three tracking scripts seem to be the main culprits. What should we fix first without breaking our analytics?

Field data first1 of 3

“whether a slow segment is pulling the number up”

Generic AI
Measures with lab throttling and splits LCP into four timing parts.
Daniel
Checks real user data first to see if 4.5s is typical or skewed by a slow segment.

Field data first1 of 3

“whether a slow segment is pulling the number up”

Generic AI
Measures with lab throttling and splits LCP into four timing parts.
Daniel
Checks real user data first to see if 4.5s is typical or skewed by a slow segment.
Daniel SousaE-commerce frontend engineering · 12 yrs experience