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Ali H. - , React Native, nextjs

My name is Ali H. and I have over 1 year years of experience in the tech industry. I specialize in the following technologies: Python, Django, Flask, JavaScript, React, etc.. I hold a degree in Bachelor of Computer Science (BCompSc). Some of the notable projects I’ve worked on include: GOAT FARM MANAGEMENT SYSTEM, TM2TB backend microservice, ishowroom, Solar System platform, Local Insta, etc.. I am based in Lahore, Pakistan. I've successfully completed 6 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 Softaims’ 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

  • 1 year

  • Python

    1 Year

  • Django

    1 Year

  • Flask

    1 Year

Additional skills

Direct hire

Potentially possible

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Experience Highlights

GOAT FARM MANAGEMENT SYSTEM

The Goat Farm Management System is a Django-based web application designed to manage and oversee the daily operations of a goat farm. This system allows users to manage goats, view detailed information, and perform CRUD (Create, Read, Update, Delete) operations

TM2TB backend microservice

The API receives a transcription in 2 languages (original and target language) and produces the Output: - Bilingual glossary with rank values - A summary of the original - A list of named entities The bilingual glossary is produced by extracting terminology from the original translating it and finding semantic similarities between the extracted words. Should an extracted term in the original do not have a translation in the target language transcription, machine translation will be used.

ishowroom

A project focused on managing car showroom operations. It likely involved features like car inventory management, dealer management with customers, sales tracking, and potentially online car showcases.

Solar System platform

A user-friendly platform designed to showcase solar system products to potential customers. It provides detailed information on available solar solutions and allows customers to make inquiries if they are interested in purchasing or learning more. The system serves as a dynamic tool to engage customers

Local Insta

This project uses API modules to manage users and posts via Axios. It includes functions for creating, fetching, and listing resources from a placeholder REST API. The setup ensures reusable and efficient data handling for the application.

Education

  • Forman Christian College

    Bachelor of Computer Science (BCompSc) in Computer science

    2017-01-01-2021-01-01

Languages

  • English
  • Urdu

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