Khair Muhammad - Backend Developer

Summary

Backend developer with over 3 years of experience delivering impactful, scalable software solutions across diverse projects. Strong expertise in Java, Spring Boot, C#, .NET Core, JavaScript, React, Azure, and AWS Cloud services. Proven success in Test Driven Development (TDD) and Agile methodologies, optimizing processes, reducing deployment times, and consistently achieving client satisfaction.

Key Skills

Backend

Java Spring Boot C# .NET Core Python Flask

Frontend

JavaScript React JS TypeScript Tailwind Bootstrap HTML CSS

Databases

MariaDB PostgreSQL MySQL MSSQL Server MongoDB

DevOps & Cloud

AWS Azure Docker Kubernetes Jenkins Git

Professional Experience

Web and App Developer

Healthhub Co., Ltd. (March 2022 - Present)

Engineered and maintained scalable RESTful API architecture with Spring Boot.
Integrated Server-Sent Events (SSE) for real-time notifications.
Collaborated with cross-functional teams to resolve production and development issues.

Software Developer

Logic-Unit (February 2021 - February 2022)

Enhanced Android apps developed in Java and Xamarin (C#).
Maintained and updated backend systems in .NET Core.
Deployed and managed Cloud Apps on AWS and Azure.

Education

Bachelor of Science in Computer Science

Sukkur IBA University (August 2016 – December 2021)

Courses: Object-Oriented Programming (OOP), Data Structures, Analysis of Algorithms, Data Science.

Projects

Eyes on School Going Baby

Real-Time Facial Detection, Recognition, and Pairing System (Final Year Thesis/Project for BSCS).

Python OpenCV ONNX Face Detection Model PySimpleGUI MobileFaceNet Face Recognition Model SMTP Email WhatsApp API

Developed a prototype application for children's security using Python, leveraging face recognition techniques for real-time monitoring.
Designed and implemented entry and exit monitoring systems to detect and recognize children and accompanying individuals.
Trained deep learning face recognition models on registered images of children and their parents/guardians for accurate identification.
Integrated email and WhatsApp notification services to instantly alert parents with images of their child and the accompanying person.
Wrapped machine learning models into a user-friendly desktop application using PySimpleGUI for seamless interaction.
Applied Artificial Intelligence and Deep Learning techniques to process images from standard cameras for real-time detection.

Graduate Admission Prediction

Machine Learning-Based Admission Prediction System.

Python Linear Regression Flask HTML CSS Heroku

Trained a linear regression model in Python to predict a student’s chance of admission based on university rating, undergraduate GPA, GRE score, and research experience.
Developed a responsive HTML web interface to collect user input and display admission prediction results.
Deployed the trained model on Heroku for public access, providing real-time predictions (later removed due to Heroku free-tier expiration).
Integrated the machine learning model with the web interface for a seamless user experience.

Contact

Email: khairmuhammad2048@gmail.com

Phone: +92 3063229252

LinkedIn: https://linkedin.com/in/khair-muhammad