Case Study / Fintech

FinTrack AI

Architecting a high-throughput financial analytics engine with Next.js, Django, and PostgreSQL.

The Challenge

FinTrack AI was struggling with a legacy PHP monolith that couldn't handle the data influx from their new enterprise clients. Queries were timing out, and the UI was sluggish, leading to a poor user experience for financial analysts who needed real-time data.

The SAK Infotech Solution

We decoupled their architecture entirely. We built a blazing-fast SPA frontend using React and Next.js, and engineered a robust, secure REST API using Python Django. We migrated their massive dataset to an optimized PostgreSQL database with proper indexing and caching layers (Redis).

Key Features Built

  • Real-time WebSocket data streaming for live stock tickers.
  • Role-Based Access Control (RBAC) for different tier subscribers.
  • Automated PDF report generation engine.

Technology Stack

Next.jsReactTailwind CSSPythonDjangoPostgreSQLRedisAWS EC2

Business Impact

+65%
Data Processing Speed
-40%
Infrastructure Costs
3x
User Engagement

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