Case Studies

Problem

REST APIs handling 100,000+ daily requests were experiencing performance bottlenecks, causing slow response times and degraded user experience under peak loads — directly impacting client SLA commitments.

Solution

Redesigned API architecture for horizontal scalability. Implemented session-based storage to offload database queries, rebuilt query patterns with indexing strategies, and integrated tags-based analytics for real-time behavior tracking. Deployed the new stack on AWS EC2 + Docker with full CI/CD pipelines.

Results

Problem

The product team needed to add intelligent search, personalized recommendations, and automated support features to an existing production system — without rebuilding the core platform or disrupting the 99.9% uptime SLA.

Solution

Designed a modular LLM integration layer using OpenAI APIs, enabling the core platform to remain unchanged while new AI features were added as independent services. Built reusable Python backend packages to standardize AI feature deployment across the engineering team.

Results

Problem

A retail client needed a scalable e-commerce platform with a modern React frontend and a robust backend API — built from scratch, with tight delivery timelines and direct client requirements gathering.

Solution

Led end-to-end development of the platform: designed and built a Python + Node.js REST API backend, developed responsive React UI components with optimized state management, and integrated third-party payment and logistics APIs. Collaborated directly with the client throughout the delivery cycle.

Results