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Hi šŸ‘‹, I'm Mustafa Bawany

Software Engineer


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  • šŸ”­ Iā€™m currently working at Techlogix

  • šŸŒ± Iā€™m currently Working on Mobile App and Web App

  • šŸ’¬ Ask me about Software Development

  • šŸ“« How to reach me [email protected]

  • šŸ“„ Know about my experiences Resume






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Muhammad Mustafa Bawany's Projects

autofiller icon autofiller

This project is dedicated to creating an OCR software that recognizes text and patterns on resumes and CVs to auto-complete application forms. It is found that many job applicants bounce off job portals with manual forms, so to address this problem we will parse out their resumes.

boolean-retrieval-model icon boolean-retrieval-model

Create Inverted index and Positional index for a set of collection to facilitate Boolean Model of IR. Inverted files and Positional files are the primary data structure to support the efficient determination of which documents contain specified terms and at which proximity.

devops-a1 icon devops-a1

A web application for the course of DevOps in which created a personal portfolio and applied the following: Created different work items, Created, Implemented Pull Request at Git level and Azure Branch Policies a feature branch, Continuous Integration (CI), and Setup Azure DevOps Dashboard

devops-backend icon devops-backend

Created a Backend Repository for the course of DevOps to implement the following features: Continuous Integration (CI Pipeline), Unit Testing, Automated Testing Scripts (Selenium), Continuous Deployment / Delivery, Release Gates, Integration with Azure DevOps Dashboard, Integration with Slack, Deployment Rings, Containerization, IaC

devops-frontend icon devops-frontend

Created a Frontend Repository for the course of DevOps to implement the following features: Continuous Integration (CI Pipeline), Unit Testing, Automated Testing Scripts (Selenium), Continuous Deployment / Delivery, Release Gates, Integration with Azure DevOps Dashboard, Integration with Slack, Deployment Rings, Containerization, IaC

feature-selection icon feature-selection

Feature selection is the process of selecting a subset of the features (in text documents it can be word/term, phrases, sequences, etc) occurring in the training set and using only this subset as features in text classification. Feature selection serves two main purposes.

findher icon findher

FindHer is an application based platform to promote women and empower them.Through this plaform, the women can make use of their skillset and be a part of a secure application where they can provide one-to-one services to women only.

garikaro icon garikaro

Gari Karo is a car pooling management system which helps users to find rides in a short period of time. It not only aids travelers but also drivers who are traveling alone can ask for fellow passengers through our application.

intellitech icon intellitech

IntelliTech is a web-based application that enables teachers to create forms consisting of open-ended questions and MCQs for students to fill, and automatically evaluates and scores their responses using Natural Language Processing (NLP) and Deep Learning techniques.

ipt-a1 icon ipt-a1

This project focuses on hands-on experience with .NET by creating a console application to first download the web page, then parse it to retrieve useful information. The third part focuses on the creation of a windows form application and further a web application is developed.

ipt-a2 icon ipt-a2

This project focuses on hands-on experience with .NET by creating a windows service in part one followed by a timer based azure function in part three. In the last part the http trigger azure function is being utilized to alert on change

leethub icon leethub

Automatically sync your leetcode solutions to your github account - top 5 trending GitHub repository

p2p-malicious-node-detection icon p2p-malicious-node-detection

This project studies malicious actions of nodes that can be detected through peer-based monitoring. We require each node to monitor the data received and to periodically send monitoring messages about its neighbors to some trustworthy nodes

phishing-detection-infosec icon phishing-detection-infosec

We worked on the dataset provided by Kaggle which has a total of 50 features, contributing to Phishing in general. We have utilized two models, a Random forest classifier and logistic regression to find the optimal number of features that contribute to phishing, hence we will be getting the top listed factors related to phishing.

product-title-classification icon product-title-classification

6th Semester Information Retrieval & Artificial Intelligence Project: Performed EDA and SVM on the dataset of Lazada Products and classified the products in macro and micro categories (Multi Label & Multi Class Classification)

rat-in-a-maze-typescript icon rat-in-a-maze-typescript

Design Pattern and Restructuring project which consists of implementing the game "Rat In A Maze" in any programming language . The first part aims to decouple the code and the next part focuses on applying Strategy Design Pattern.

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