Rahul Tiwari
Back to experience

2026.06

Jun 2026 – Present

TradeEngage · Senior Software Engineer

Referral Link Analytics

Referral link analytics built from scratch: one backend module feeding both a customer dashboard and an internal admin surface.

Problem
Companies sharing referral links had no view of which clicks converted, which channels worked, or where revenue leaked, and internal teams had no admin view either.
Solution
A single analytics module with per-click conversion attribution, channel click-through rates, revenue-leak aging and email/SMS delivery health, rendered in a customer-facing dashboard and an internal admin surface from the same data.

Impact

Customers see where their referrals come from and convert; the internal team sees delivery health and leaks across every company from one place.

~$3.9k132

What I did

  • Modelled per-click attribution and revenue-leak aging in the backend module.
  • Built the customer dashboard and the admin surface in React with TanStack Query and MUI.
  • Closed a bonus rule that double-paid 132 users (~$3.9k), surfaced while auditing the data.

Built with · Python · FastAPI · PostgreSQL · React · TypeScript · TanStack Query · MUI