Cloud Engineer
Automated Infrastructure Deployment with Terraform and AWS
Automated cloud infrastructure deployment using Terraform and AWS—provision scalable resources, enable monitoring, and streamline updates with CI/CD.
Year :
2025
Industry :
AI Business Management
Client :
Shani : Agentic AI
Project Duration :
3 weeks
Problem :
The original Shani platform struggled with inefficient cloud architecture, slow load times, and unreliable scalability—leading to confusing navigation, sluggish checkouts, and a dated user experience. These cloud-related challenges caused user frustration, higher bounce rates, and frequent cart abandonment, underscoring the need for robust cloud engineering and a modern infrastructure overhaul.
Solution :
The redesign sprint prioritized cloud-driven optimization for seamless scalability and speed. I enhanced the user flow with intuitive navigation, a unified menu, and advanced search powered by cloud indexing for fast product discovery. The checkout was simplified using cloud-based integrations and automated progress tracking. The interface embraced a modern look—ample white space, clean fonts, and consistent colors—all backed by responsive cloud resources for a reliable, engaging experience.
Challenge :
A key challenge was architecting a cloud-native solution that balanced a clean, minimalist design with the seamless display of extensive product data and features. Ensuring effortless usability for all customers called for dynamic front-end optimization, cloud-backed performance, and thorough user testing throughout each development iteration.
Summary :
The "Shani : Agentic AI" project revamped the platform into a cloud-optimized, user-centric experience. Streamlined navigation, faster checkout, and a sleek interface boosted user satisfaction and minimized friction. This project highlights how cloud-engineered UX/UI enhancements can accelerate business growth and elevate customer engagement.
More Projects
Cloud Engineer
Automated Infrastructure Deployment with Terraform and AWS
Automated cloud infrastructure deployment using Terraform and AWS—provision scalable resources, enable monitoring, and streamline updates with CI/CD.
Year :
2025
Industry :
AI Business Management
Client :
Shani : Agentic AI
Project Duration :
3 weeks
Problem :
The original Shani platform struggled with inefficient cloud architecture, slow load times, and unreliable scalability—leading to confusing navigation, sluggish checkouts, and a dated user experience. These cloud-related challenges caused user frustration, higher bounce rates, and frequent cart abandonment, underscoring the need for robust cloud engineering and a modern infrastructure overhaul.
Solution :
The redesign sprint prioritized cloud-driven optimization for seamless scalability and speed. I enhanced the user flow with intuitive navigation, a unified menu, and advanced search powered by cloud indexing for fast product discovery. The checkout was simplified using cloud-based integrations and automated progress tracking. The interface embraced a modern look—ample white space, clean fonts, and consistent colors—all backed by responsive cloud resources for a reliable, engaging experience.
Challenge :
A key challenge was architecting a cloud-native solution that balanced a clean, minimalist design with the seamless display of extensive product data and features. Ensuring effortless usability for all customers called for dynamic front-end optimization, cloud-backed performance, and thorough user testing throughout each development iteration.
Summary :
The "Shani : Agentic AI" project revamped the platform into a cloud-optimized, user-centric experience. Streamlined navigation, faster checkout, and a sleek interface boosted user satisfaction and minimized friction. This project highlights how cloud-engineered UX/UI enhancements can accelerate business growth and elevate customer engagement.
More Projects
Cloud Engineer
Automated Infrastructure Deployment with Terraform and AWS
Automated cloud infrastructure deployment using Terraform and AWS—provision scalable resources, enable monitoring, and streamline updates with CI/CD.
Year :
2025
Industry :
AI Business Management
Client :
Shani : Agentic AI
Project Duration :
3 weeks
Problem :
The original Shani platform struggled with inefficient cloud architecture, slow load times, and unreliable scalability—leading to confusing navigation, sluggish checkouts, and a dated user experience. These cloud-related challenges caused user frustration, higher bounce rates, and frequent cart abandonment, underscoring the need for robust cloud engineering and a modern infrastructure overhaul.
Solution :
The redesign sprint prioritized cloud-driven optimization for seamless scalability and speed. I enhanced the user flow with intuitive navigation, a unified menu, and advanced search powered by cloud indexing for fast product discovery. The checkout was simplified using cloud-based integrations and automated progress tracking. The interface embraced a modern look—ample white space, clean fonts, and consistent colors—all backed by responsive cloud resources for a reliable, engaging experience.
Challenge :
A key challenge was architecting a cloud-native solution that balanced a clean, minimalist design with the seamless display of extensive product data and features. Ensuring effortless usability for all customers called for dynamic front-end optimization, cloud-backed performance, and thorough user testing throughout each development iteration.
Summary :
The "Shani : Agentic AI" project revamped the platform into a cloud-optimized, user-centric experience. Streamlined navigation, faster checkout, and a sleek interface boosted user satisfaction and minimized friction. This project highlights how cloud-engineered UX/UI enhancements can accelerate business growth and elevate customer engagement.