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Mujab M. Cloud, Frontend and Web Development

My name is Mujab M. and I have over 8 years of experience in the tech industry. I specialize in the following technologies: React, Redux, Next.js, GraphQL, node.js, etc.. I hold a degree in Bachelor of Computer Science (BCompSc). Some of the notable projects Iโ€™ve worked on include: Full Stack, Full Stack, Full Stack, Devops, Full Stack, etc.. I am based in Lahore, Pakistan. I've successfully completed 8 projects while developing at Softaims.

My expertise lies in deeply understanding and optimizing solution performance. I have a proven ability to profile systems, analyze data access methods, and implement caching strategies that dramatically reduce latency and improve responsiveness under load. I turn slow systems into high-speed performers.

I focus on writing highly efficient, clean, and well-documented code that minimizes resource consumption without sacrificing functionality. This dedication to efficiency is how I contribute measurable value to Softaimsโ€™ clients by reducing infrastructure costs and improving user satisfaction.

I approach every project with a critical eye for potential bottlenecks, proactively designing systems that are efficient from the ground up. I am committed to delivering software that sets the standard for speed and reliability.

Main technologies

  • Cloud, Frontend and Web Development

    8 years

  • React

    7 Years

  • Redux

    6 Years

  • Next.js

    1 Year

Additional skills

Direct hire

Potentially possible

Previous Company

10Pearls

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Experience Highlights

Full Stack | Reat | React Native | GCP | Chrome Extension | Kubernetes

Developed the - Airbnb Property management system and CMS - Implemented the mobile application - Developed the web application for the property management - Wrote LLMs to automatically respond to te guests - Wrote AI guest screening system Technologies Used: React Native React.Js NodeJs / Next.JS ElectronJS Prime react Google cloud functions Puppeeteer for scrapping GKE workloads

Full Stack | NextJs | Electron | ChatGPT | React | Supabase

Developed the - AI assistive Doctor inscription system - Developed the desktop app that in realtime uses LLM, Vector search, and typing out the relevant medical template - Implemented the web application to manage & navigate the content - Implemented a large database of 12 TB of medical records and information system Technologies Used: React Native React.Js NodeJs / Next.JS ElectronJS Supabase Postgrest

Full Stack | AI | LLM | NextJs | React | Supabase

Implemented the LLM for the Moemate - Implemented Vectory memory search & retrieval system - Implemented reasoning and reflection system - Implemented the reasoning system - Implemented the Ai selfie system - Implemented Stable diffusion, cotrolnet pose system.

Devops | Architecture | AI | GPU | Docker | Kubernetes

๐—•๐—ฎ๐—ฐ๐—ธ๐—ด๐—ฟ๐—ผ๐˜‚๐—ป๐—ฑ The focus is on a machine learning (ML) model serving application that utilizes GPUs for inference The application is dockerized for better portability and scalability. ๐—ข๐—ฏ๐—ท๐—ฒ๐—ฐ๐˜๐—ถ๐˜ƒ๐—ฒ๐˜€ ๐—ฆ๐—ฐ๐—ฎ๐—น๐—ฎ๐—ฏ๐—ถ๐—น๐—ถ๐˜๐˜†: Dynamically adjust the number of containers based on the load. ๐—ฅ๐—ฒ๐˜€๐—ผ๐˜‚๐—ฟ๐—ฐ๐—ฒ ๐—˜๐—ณ๐—ณ๐—ถ๐—ฐ๐—ถ๐—ฒ๐—ป๐—ฐ๐˜†: Optimize GPU usage across multiple containers. ๐—›๐—ถ๐—ด๐—ต ๐—”๐˜ƒ๐—ฎ๐—ถ๐—น๐—ฎ๐—ฏ๐—ถ๐—น๐—ถ๐˜๐˜†: Ensure the application is always available despite the load.

Full Stack | Patient - Practice Management System | React | Next

Developed the - Doctor - Patient appointment system - CRM for the doctors to track patient data - Mobile application that scans your body data and uses AI to forsee the lifestyle changes - Implemented emergency response system for critical health values like Heart rate etc. - Implemented a 360 body monitoring system Technologies Used: React Native React.Js NodeJs / Next.JS

Education

  • Pennsylvania State University

    Bachelor of Computer Science (BCompSc) in

    2016-01-01-2020-01-01

Languages

  • English

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