Case Studies
Real projects, real challenges, real outcomes. Here's how I've helped businesses solve complex problems and ship better products.
E-Commerce Platform Modernization
Furniture Retail
The Challenge
The client's legacy e-commerce platform was struggling with slow pages, frequent crashes during peak traffic, and a checkout flow that created friction for customers.
The Solution
Rebuilt the frontend with Next.js and implemented server-side rendering for SEO. Designed a microservices architecture with real-time inventory sync across 145+ stores. Added Redis caching layer and implemented optimistic UI updates for cart operations.
Impact
Rebuilt e-commerce platform with Next.js, improving performance and checkout experience.
Technologies Used
"Aarush's architecture handled our peak holiday traffic without a hiccup. The real-time inventory system he built saved us countless overselling issues."
— David Mitchell, Senior Engineering Manager
B2B Digital Ordering Platform
Beverage Distribution
The Challenge
Retailers were placing orders via phone calls, leading to errors, delayed deliveries, and limited visibility into order status for both retailers and operations teams.
The Solution
Built a mobile-first B2B ordering platform with real-time pricing updates, inventory availability, and delivery scheduling. Implemented offline-first architecture for retailers in areas with poor connectivity. Created admin dashboard with analytics for distributor operations.
Impact
Built B2B ordering system for AB InBev used by retailers daily.
Technologies Used
"The platform transformed how our retailers order. Real-time pricing and easy delivery scheduling made a real impact on our operations."
— Jennifer Rodriguez, Product Lead
AI-Powered Customer Support SaaS
SaaS / AI
The Challenge
Businesses were spending thousands on customer support while providing slow, inconsistent responses. Existing chatbot solutions couldn't understand context or learn from company-specific documentation.
The Solution
Built a multi-tenant SaaS platform with RAG-based AI that learns from uploaded documents. Implemented embeddable chat widget that companies can add to their sites in minutes. Created real-time admin dashboard for conversation monitoring and AI training.
Impact
Context-aware AI support platform with RAG-based knowledge retrieval and human escalation.
Technologies Used
"This showcases exactly what modern AI can do for customer support - context-aware, fast, and actually helpful."
— Open Source, GitHub Project
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