Projects using AWS in SindhProjects using AWS in SindhPickPostAI Website
Designed and developed the official marketing website for PickPostAI, an AI-powered ecommerce marketing platform. The website was created to effectively communicate the product's value, showcase its features, present pricing plans, and drive user registrations through a modern, conversion-focused user experience.
Responsibilities
Designed and developed a fully responsive marketing website.
Built reusable and optimized UI components.
Created product feature sections, pricing pages, FAQs, and call-to-action areas.
Implemented responsive layouts for desktop, tablet, and mobile devices.
Optimized the website for performance, SEO, and accessibility.
Added contact forms and lead generation functionality.
Integrated authentication pages for user sign-up and login.
Created legal pages including Privacy Policy, Terms of Service, and Refund Policy.
Connected the website with the SaaS application and subscription flow.
Deployed the website using Docker and AWS.
Technologies
Next.js
React
TypeScript
Tailwind CSS
HTML5
CSS3
Docker
AWS EC2
Nginx
Git
GitHub
Key Outcomes
Delivered a fast, modern, and SEO-friendly marketing website.
Improved user engagement with a clean, responsive interface.
Established a professional online presence for the SaaS platform.
Created a scalable frontend architecture that supports future feature additions and marketing pages. Problem:
Batch data processing was not suitable for real-time analytics and scalable cloud-based data ingestion.
Solution:
Created a real-time streaming pipeline using Kafka on AWS EC2, stored processed data in S3, cataloged it with AWS Glue, and queried it with Amazon Athena.
Tools:
Python, Apache Kafka, AWS EC2, Amazon S3, AWS Glue, Amazon Athena, Pandas
Result:
Built an end-to-end cloud data streaming workflow that supports real-time ingestion, storage, cataloging, and SQL-based analytics. 
