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Schedule Interview NowMy name is Irtaza H. and I have over 7 years of experience in the tech industry. I specialize in the following technologies: Python, Data Science, Flask, React Native, React, etc.. I hold a degree in Bachelor of Applied Science (B.A.Sc.). Some of the notable projects I’ve worked on include: Omnidots, Ganexus, Permispop, Smart Learning. 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.
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Techlogix
• Engineered performance enhancements for the download module, incorporating generators and background jobs with Celery. • Transformed the notification page to React from Django using Storybook and implemented GraphQL API, enhancing user experience. • Programmed a robust unit-testing structure, dynamically mocking classes for elastic search data retrieval, ensuring application reliability.
The Main Goal of Ganexus was to provide users with OS-type UX for customers where they can use the application just like a native OS and manage all of their content on the browser. Currently, the main functionalities that this application provides are - Wallet (USD and BTC) - Photo Gallery ( public and private) - Gans (Image Generation) - Buy our Product with printing Images on them - Social application - File Purchases - Text to Image Generation (Dalle-Models)
platform to connecting driving school, independent instructor, and students with each other in order to learn driving and apply for driving license.
This is a student performance prediction and enhancement system which is a machine learning-based project and a random forest classifier is used on real-time data with 83.33% accuracy. Technologies used are Django for the front end, React for the Front end, Scikit learn for machine learning backend, and MySQL as a database.
Bachelor of Applied Science (B.A.Sc.) in Computer science
2015-01-01-2019-01-01