Web performance consultant front-end

Fast frontend, Core Web Vitals green

JavaScript bundle drifting, third-party scripts killing INP, unprioritized LCP image. I work on React, Angular, Astro and the critical path to deliver a measurable and sustainable frontend.

100% satisfied clients Data 2023-2026 8+ years XP 35+ clients partnered
View my client cases

Front-end Optimization

Resource compression pipeline

In progress
JS 428 KB
-78%
CSS 186 KB
-83%
Images 2.4 MB
-83%
Score: 0 / 100

They trust me

CHANEL
DIOR
Decathlon
April Moto
SiriusXM
Make Up Forever
Camif
RIMOWA
Jimmy Fairly
Wecasa
Chronovet
CHANEL
DIOR
Decathlon
April Moto
SiriusXM
Make Up Forever
Camif
RIMOWA
Jimmy Fairly
Wecasa
Chronovet

Frontend symptoms calling for an audit

Most Core Web Vitals problems come from the frontend. They look the same from one project to the next.

📦 JavaScript bundle above 500 KB on first load

Webpack not tree-shaken, heavy dependencies (Moment, full lodash, MUI), no code splitting. An audit identifies each contributor.

🐢 Red mobile INP on complex interactions

Unnecessary re-renders, event listeners touching the whole DOM, third-party scripts chaining Long Tasks. React DevTools Profiler exposes the pattern.

🖼️ LCP image not prioritized, formats never AVIF

No fetchpriority on the hero image, JPEG instead of WebP/AVIF, misplaced lazy loading. LCP drifting above 3s.

📊 Long Tasks killing the main thread

Tag manager loading 15 scripts, chatbot loading in one block, synchronous A/B testing. Main thread saturates, INP explodes.

🌐 No SSR, LCP waiting for hydration

Pure SPA on a public site with SEO stakes. Without SSR (Next.js, Astro, Remix), LCP waits for all JS to download and execute.

🧪 No performance budget in CI

Without Lighthouse CI, bundle size check, SpeedCurve, every PR can introduce an invisible regression. Budget discipline is the only guarantee of holding.

The frontend stacks I optimize

React (SPA, Next.js, RSC), Angular (lazy modules, OnPush, SSR), Astro (islands, partial hydration). Plus CMS templating (WordPress, Drupal, Shopify Liquid).

Angular
Angular
Astro
Astro
Drupal
Drupal
Laravel
Laravel
Python
Python
React
React
Salesforce Commerce Cloud
Salesforce Commerce Cloud
SAP Commerce Cloud
SAP Commerce Cloud
Sylius
Sylius
Symfony
Symfony
Akamai mPulse
Akamai mPulse
Datadog
Datadog
Dynatrace
Dynatrace
SpeedCurve
SpeedCurve
Akamai
Akamai
Cloudflare
Cloudflare
Fastly
Fastly
Magento
Magento
Prestashop
Prestashop
Shopify
Shopify
Wordpress
Wordpress
Medusa.js
Medusa.js
Ruby on Rails
Ruby on Rails
Angular
Angular
Astro
Astro
Drupal
Drupal
Laravel
Laravel
Python
Python
React
React
Salesforce Commerce Cloud
Salesforce Commerce Cloud
SAP Commerce Cloud
SAP Commerce Cloud
Sylius
Sylius
Symfony
Symfony
Akamai mPulse
Akamai mPulse
Datadog
Datadog
Dynatrace
Dynatrace
SpeedCurve
SpeedCurve
Akamai
Akamai
Cloudflare
Cloudflare
Fastly
Fastly
Magento
Magento
Prestashop
Prestashop
Shopify
Shopify
Wordpress
Wordpress
Medusa.js
Medusa.js
Ruby on Rails
Ruby on Rails
Angular Astro Drupal Laravel Python React Salesforce Commerce Cloud SAP Commerce Cloud Sylius Symfony Akamai mPulse Datadog Dynatrace SpeedCurve Akamai Cloudflare Fastly Magento Prestashop Shopify Wordpress Medusa.js Ruby on Rails Angular Astro Drupal Laravel Python React Salesforce Commerce Cloud SAP Commerce Cloud Sylius Symfony Akamai mPulse Datadog Dynatrace SpeedCurve Akamai Cloudflare Fastly Magento Prestashop Shopify Wordpress Medusa.js Ruby on Rails Angular Astro Drupal Laravel Python React Salesforce Commerce Cloud SAP Commerce Cloud Sylius Symfony Akamai mPulse Datadog Dynatrace SpeedCurve Akamai Cloudflare Fastly Magento Prestashop Shopify Wordpress Medusa.js Ruby on Rails Angular Astro Drupal Laravel Python React Salesforce Commerce Cloud SAP Commerce Cloud Sylius Symfony Akamai mPulse Datadog Dynatrace SpeedCurve Akamai Cloudflare Fastly Magento Prestashop Shopify Wordpress Medusa.js Ruby on Rails Angular Astro Drupal Laravel Python React Salesforce Commerce Cloud SAP Commerce Cloud Sylius Symfony Akamai mPulse Datadog Dynatrace SpeedCurve Akamai Cloudflare Fastly Magento Prestashop Shopify Wordpress Medusa.js Ruby on Rails Angular Astro Drupal Laravel Python React Salesforce Commerce Cloud SAP Commerce Cloud Sylius Symfony Akamai mPulse Datadog Dynatrace SpeedCurve Akamai Cloudflare Fastly Magento Prestashop Shopify Wordpress Medusa.js Ruby on Rails Angular Astro Drupal Laravel Python React Salesforce Commerce Cloud SAP Commerce Cloud Sylius Symfony Akamai mPulse Datadog Dynatrace SpeedCurve Akamai Cloudflare Fastly Magento Prestashop Shopify Wordpress Medusa.js Ruby on Rails Angular Astro Drupal Laravel Python React Salesforce Commerce Cloud SAP Commerce Cloud Sylius Symfony Akamai mPulse Datadog Dynatrace SpeedCurve Akamai Cloudflare Fastly Magento Prestashop Shopify Wordpress Medusa.js Ruby on Rails Angular Astro Drupal Laravel Python React Salesforce Commerce Cloud SAP Commerce Cloud Sylius Symfony Akamai mPulse Datadog Dynatrace SpeedCurve Akamai Cloudflare Fastly Magento Prestashop Shopify Wordpress Medusa.js Ruby on Rails Angular Astro Drupal Laravel Python React Salesforce Commerce Cloud SAP Commerce Cloud Sylius Symfony Akamai mPulse Datadog Dynatrace SpeedCurve Akamai Cloudflare Fastly Magento Prestashop Shopify Wordpress Medusa.js Ruby on Rails

Mission commitments

-50% typical JavaScript bundle
-40% mobile TTI gained
INP stabilized under 200ms
Continuous CI-monitored performance budgets
FAQ

Frequently asked questions

React, Vue, Angular, Astro: which one for performance?
Astro produces the lightest bundle (HTML by default, opt-in islands). Next.js (RSC) hits very light bundles on complex apps. Angular stays heavier by default but predictable. The choice depends on usage and existing team — I work on all four.
How do I know if my frontend has a real problem?
Three signals: mobile LCP above 2.5s on Search Console, mobile INP above 200ms, initial JS bundle above 500 KB. If just one is true, an audit quantifies the accessible gain.
Should I rebuild in Next.js or Astro?
Not systematically. On a mature React SPA, in-place optimization (bundle splitting, RSC migration, image priority) often gains enough. Rebuild is justified when the debt is structural or when SEO demands it.
How are your frontend engagements structured?
As continuous sprints. Initial diagnosis of the bundle, rendering and Core Web Vitals, then each sprint pushes a lever with SpeedCurve or equivalent measurement. An active frontend project keeps adding dependencies — the engagement protects the budget.

Get your frontend green

Bundle + rendering audit
CI performance budgets
RUM measurement
100% satisfied clients
Data 2023-2026
Testimonials

What my clients say

Excellent work.
Paul has significantly improved the site's speed and perfectly aligned it with Google's recommendations.
Professional, thorough, and efficient, I highly recommend.

Nicolas - April Moto

Digital & E-commerce Director

We are very satisfied with Paul's work. He is quick, available, and particularly effective. Since his arrival, very good results have been observed, both in terms of performance and responsiveness. A real asset for our team.

Léo - Luxury brand

E-commerce Product Owner

I don't know if we've said it enough.
But if you want to improve your loading speed,
Make Google happy and get your Core Web Vitals in the green,
Contact Paul Delcloy.

Florian Darroman - Les Makers

Co-founder

The frontend, where everything plays out on the user side

The browser is unforgiving. It parses HTML, discovers CSS, executes JavaScript, and can render nothing until critical resources arrive. A 200 KB unminified CSS file, a font loaded as render-blocking, an analytics script injected in the head: each of these pushes back the moment the user sees anything on screen.

Most Core Web Vitals problems I encounter in audits are frontend problems. An LCP degraded by a 2 MB PNG hero image without preload. An INP killed by an event listener triggering a full DOM re-render. A CLS caused by ads or embeds inserting into the page after load.

Third-party scripts, the elephant in the room

On most e-commerce sites I audit, third-party scripts represent between 50% and 80% of executed JavaScript. Tag managers, tracking pixels, A/B testing, chatbots, recommendation widgets: each adds weight and network requests.

The problem is nobody watches cumulative impact. A tag manager at 80 KB is fine. When it loads 15 tags each running their own logic, Long Tasks chain up and INP explodes. The solution isn't always to remove everything — it's to audit each script's real impact, drop the ones no longer serving, and load the others non-blocking.

Critical Rendering Path in practice

The concept is simple: minimize what the browser must download and execute before displaying visible content. In practice, it touches everything: head tag ordering, font loading strategy, JavaScript code splitting, critical CSS extraction.

What makes the topic interesting is that every stack has its traps. A React site with SSR can have excellent TTFB but catastrophic INP from hydration. A WordPress site with 12 plugins often loads 400 KB of CSS, 90% of which doesn't apply to the current page. An SFCC site can serve impeccable HTML but inject 3 MB of JavaScript for the personalization layer.

Measure what matters

Lighthouse scores are useful as a starting point, but they don't reflect real experience. A site can score 95 in lab and have a 4-second LCP in the field. The difference comes from network, device, third-parties not loading in headless mode.

CrUX data (Chrome User Experience Report) measures what real users live over the last 28 days. It's the only source Google uses to evaluate Core Web Vitals in ranking. It's also the source I use to measure every optimization's impact, complemented by dedicated RUM (SpeedCurve LUX, Akamai mPulse) for per-template and per-device granularity.

My frontend expertise pages

  • React: bundle splitting, hydration, RSC, Next.js SSR
  • Angular: lazy modules, OnPush, SSR Universal, signals
  • Astro: islands architecture, image optimization, view transitions
  • SpeedCurve: performance budgets, LUX RUM, CI/CD
  • Akamai mPulse: RUM segmented per template
  • Cloudflare, Akamai, Fastly: CDN for the critical path

For e-commerce sites, the frontend angle combines with backend and CDN in a complete web performance audit or an e-commerce optimization.

Preuves

Missions menées en conseil web performance

Quelques exemples de missions où ces leviers ont été mis en place sur des marques exigeantes.

CHANEL

2022 → 2026

Web Performance Architect

Audits across all global markets (APAC, EMEA, AMER, CN, JP), embedded in internal technical teams.

SAP Hybris ReactJS Akamai Cloudinary Dynatrace SpeedCurve
  • Checkout reduced from 12 s to under 2 s
  • 80 % of visits rated as fast on Google CrUX
  • TBT (Total Blocking Time) reduced by 40 %
  • TTFB reduced by 20 %

RIMOWA

2024 → present

Web Performance Consultant

Worldwide audits (APAC, EMEA, AMER, JP), performance roadmap, code reviews, delivery follow-up.

SFCC Akamai SpeedCurve
  • 95 % of users with an excellent experience on CrUX
  • TTFB reduced by 46 %
  • Perfect CLS across the entire site
  • Performance budgets defined, technical and business impact tracked

SiriusXM

2025 → present

Web Performance Consultant

Audits on the web platform and marketing sites. Custom reporting through synthetic and real-user monitoring.

React.js Next.js Angular Akamai Datadog SpeedCurve
  • 82 % of users with a good experience on CrUX
  • Continuous follow-up of the performance roadmap
  • Optimisations implemented hands-on inside the product codebase
Mes offres

Découvrir mes services associés

Offre phare
  • Field and lab Core Web Vitals diagnostic
  • Front-end, back-end and CDN bottleneck mapping
your-site.com
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Web Performance Optimization

E-commerce store, corporate site, or media: enhance your UX to increase your conversion rate with a web performance consultant integrated into your teams.

Support for optimizing the speed and user experience of your website, e-commerce, or corporate site.

  • Implementation of the priority levers
  • Front-end tuning: LCP, INP, code splitting
  • Back-end & infra tuning: cache, CDN, database
LCP CLS

Web Performance Monitoring

Detect regressions before your users do with continuous monitoring of your Core Web Vitals and performance metrics.

Continuous monitoring of web performance: tracking Core Web Vitals, real-time alerts, and regression detection.

  • 24/7 Core Web Vitals monitoring
  • Slack or email alerts on regression
  • Custom real-time dashboard