Case Studies
Real projects, real challenges, real results. Here's how I've helped businesses solve complex problems and achieve measurable outcomes.
E-Commerce Platform Modernization
Furniture Retail • 4 months
The Challenge
The client's legacy e-commerce platform was struggling with slow page loads (8+ seconds), frequent crashes during peak traffic, and a checkout abandonment rate of 72%. Their Black Friday sales were being lost to competitors.
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.
Results & Impact
2.1s
Page Load Time
-74%
41%
Checkout Abandonment
-43%
$2.4M
Black Friday Revenue
+180%
15K+
Concurrent Users
3x capacity
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 • 6 months
The Challenge
Retailers were placing orders via phone calls, leading to errors, delayed deliveries, and no visibility into order status. The manual process was costing the company 40+ hours per week in order corrections.
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.
Results & Impact
0.3%
Order Errors
-96%
2 min
Order Processing
-85%
38 hrs
Weekly Time Saved
Automated
2,400+
Retailer Adoption
in 3 months
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 • 3 months
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.
Results & Impact
94%
Response Accuracy
vs 60% generic AI
1.2s
Avg Response Time
Instant
60%
Support Ticket Reduction
Automated
5 min
Setup Time
Self-serve
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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