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RAHUL/

AI-Powered Trading Platform

The marketing and onboarding site for an AI-driven trading platform, with personalised course recommendations.

Frontend Engineer
JavaScript · HTML/CSS · TailwindCSS · PHP
AI-Powered Trading Platform — interface preview

Overview

The marketing and onboarding site for an AI-driven trading platform, including a surface that recommends courses to each visitor.

Problem

Turn first-time visitors into onboarded users, and put the right learning path in front of each person rather than a generic catalogue.

My Role

  • Architected the marketing and onboarding site.
  • Built the personalised course-recommendation interface.
  • Implemented the front end in vanilla JavaScript and TailwindCSS on a PHP backend.

Architecture

Hand-written HTML, CSS and JavaScript with TailwindCSS — no framework.

PHP.

Personalised course-recommendation surface in the onboarding flow.

Technology

  • JavaScript
  • HTML/CSS
  • TailwindCSS
  • PHP

Engineering Challenges

Framework-free interactivity at scale

A full marketing and onboarding experience with no framework to lean on for structure.

Personalised recommendations in a lean stack

Per-visitor course recommendations without a heavy client runtime.

Solution

Framework-free interactivity at scale

Structured vanilla-JS modules for the onboarding flow so behaviour stayed maintainable as the site grew.

Personalised recommendations in a lean stack

Drove the recommendation UI from the PHP backend and kept the front end progressive and fast.

Results

+40%
User engagement — first quarter
+25%
Course sales — first quarter