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Abdul Saboor K. Cloud, Modern Frameworks and AI Platforms

My name is Abdul Saboor K. and I have over 13 years of experience in the tech industry. I specialize in the following technologies: Next.js, React, node.js, Supabase, PostgreSQL, etc.. I hold a degree in Bachelor of Arts (BA). Some of the notable projects I’ve worked on include: Product Recommendation Engine (Node.js + OpenAI API), Telemedicine Booking API (NestJS/PostgreSQL), iGaming Platform Enhancement: Pre-Launch MVP Fortification, Jokester Live Streaming App: Next.js + Supabase Production Ready.. I am based in Lahore, Pakistan. I've successfully completed 4 projects while developing at Softaims.

I am a dedicated innovator who constantly explores and integrates emerging technologies to give projects a competitive edge. I possess a forward-thinking mindset, always evaluating new tools and methodologies to optimize development workflows and enhance application capabilities. Staying ahead of the curve is my default setting.

At Softaims, I apply this innovative spirit to solve legacy system challenges and build greenfield solutions that define new industry standards. My commitment is to deliver cutting-edge solutions that are both reliable and groundbreaking.

My professional drive is fueled by a desire to automate, optimize, and create highly efficient processes. I thrive in dynamic environments where my ability to quickly master and deploy new skills directly impacts project delivery and client satisfaction.

Main technologies

  • Cloud, Modern Frameworks and AI Platforms

    13 years

  • Next.js

    2 Years

  • React

    12 Years

  • Node.js

    4 Years

Additional skills

Direct hire

Potentially possible

Previous Company

Techlogix

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Experience Highlights

Product Recommendation Engine (Node.js + OpenAI API)

Built a high-performance recommendation system for a fashion e-commerce platform: Tech Stack: - Node.js/Express API handling 9K RPM (Redis caching) - Integrated OpenAI's API for personalized recommendations - Engineered prompts using customer browse history + purchase data - Cached responses to reduce GPT-4 costs by 40% - Next.js frontend with real-time analytics dashboard Business Impact: - 22% increase in average order value via AI suggestions - Reduced latency from 1.2s → 300ms through Redis optimization

Telemedicine Booking API (NestJS/PostgreSQL)

Developed a HIPAA-compliant scheduling system for a healthtech startup: - NestJS backend with TypeORM and PostgreSQL - Handled 8K RPM during clinic hours - Implemented Redis queue for appointment notifications - OAuth 2.0 integration with EHR systems Impact: - Reduced no-show rates by 22% with reminder automation - Scaled to 100+ clinics without downtime

iGaming Platform Enhancement: Pre-Launch MVP Fortification

This project was a critical pre-launch initiative focused on significantly enhancing an existing iGaming web application's Minimum Viable Product (MVP). The goal was to integrate crucial features essential for a compliant, secure, and feature-rich gaming platform, ensuring a robust foundation before its public debut. Our comprehensive enhancements included - Robust KYC (Know Your Customer) Procedures: - Seamless Crypto Wallet Functionality - Diverse iGaming Provider Integrations Technologies: Express.js, Laravel, Vue.js and MySQL, Figma UI/UX (for redesigning)

Jokester Live Streaming App: Next.js + Supabase Production Ready.

Developed with a modern and scalable stack, Jokester leverages Next.js for a dynamic and performant user interface. Supabase provides a robust backend solution, handling secure user authentication, ticket management, and data storage with real-time capabilities. Key Features: ** Live Show Schedule: Users can easily browse and view upcoming stand-up comedy shows. ** Secure Ticket Purchasing: A streamlined process for buying tickets to desired live streams. ** Integrated Live Streaming: High-quality, real-time video delivery for an immersive viewing experience.

Education

  • Central University of Punjab

    Bachelor of Arts (BA) in Economics

    2012-01-01-2014-01-01

Languages

  • English

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