Case studies · Chirag Mehta
Projects in
full detail
Three platforms I led or built end to end — the brief, the architecture, the stack on both sides, and what shipped.
01 · Digital signage
Neon Screens
Digital signage solution for enhancing customer engagement through dynamic displays, built with ReactJS, NextJS, NodeJS, and PostgreSQL.
- Front end
- ReactJS · NextJS
- Back end
- NodeJS · PostgreSQL · TypeORM
- Platforms
- Web · TV
What I did
- Engineered and fine-tuned the back-end systems with Node.js and PostgreSQL utilizing TypeORM.
- Enhanced application performance and lowered operational costs by 25% through scalable back-end solutions and AI integration, resulting in faster load times and a 15% boost in customer satisfaction.
- Worked closely with multi-disciplinary teams to launch and scale the platform.
- Delivered both the web platform and the TV application driving the displays.
25%
lower operational cost
15%
customer satisfaction lift
Architecture
- Client
- ReactJS + NextJS admin for building and scheduling display content
- TV app
- Playback client running on the screens themselves
- API
- NodeJS services exposing content, schedules and device state
- Data
- PostgreSQL via TypeORM
Key features
Dynamic displays
Content updates push to live screens without redeploying the player.
AI integration
Applied to back-end processing to cut cost and load times.
Scalable back end
Tuned queries and services to hold up as screen count grew.
Architecture
- Client
- ReactJS storefront and operator tooling
- API
- Python services for sourcing, orders and fulfillment
- Automation
- Fulfillment pipeline running order flows end to end
Key features
Product sourcing
Find and import products into the seller catalogue.
Order management
Track orders across their full lifecycle in one view.
Automated fulfillment
Orders move through fulfillment without manual handling.
02 · Drop-shipping
Yaballe
Drop-shipping platform built with Python (backend) and ReactJS (frontend), enabling seamless product sourcing, order management, and automated fulfillment processes.
- Front end
- ReactJS
- Back end
- Python
What I did
- Product sourcing, order management and automated fulfillment flows across the ReactJS front end and Python services.
- Mentored junior developers and led the team delivering the platform.
03 · Analytics
ProductChimp
Amazon product analytics platform built with Python (backend) and ReactJS (frontend), NextJS, providing insights into sales trends, ratings, and pricing history similar to Keepa.
- Front end
- ReactJS · NextJS
- Back end
- Python
- Platforms
- Web · Android · iOS
What I did
- Built the analytics surfaces for sales trends, ratings and pricing history in ReactJS and NextJS.
- Delivered the Python back end serving the product and pricing data.
- Shipped companion Android and iOS applications alongside the web platform.
Architecture
- Web
- ReactJS + NextJS analytics interface
- Mobile
- Android and iOS companion applications
- API
- Python back end serving product and pricing data
Key features
Sales trends
Track how a product performs over time.
Pricing history
Historical price movement, in the vein of Keepa.
Ratings insight
Rating and review movement alongside price and sales.