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Muhammad Usman Safder

Hey, I'm Usman!

I'm a computer science student and researcher, currently located at Namal University Mianwali, who's passionate about building intelligent systems. Whether it's through coding, teaching, or community building, I'm always excited to take on new challenges.

View my resume

CV

Posts

Technologies

TensorFlow
Deep learning framework for implementing ML models
NumPy
Scientific computing and data manipulation in Python
Pandas
Data analysis and manipulation library
Scikit-learn
Machine learning library for predictive data analysis
Docker
Containerization platform for application deployment
Prisma
SQL toolkit and ORM for database management
TypeScript
Next-gen static typing for JavaScript
OpenCV
Computer vision and image processing library
MLflow
MLOps platform for machine learning lifecycle
Jenkins
Open-source automation server for CI/CD
React.js
Building dynamic user interfaces and modern web applications
Node.js
Server-side JavaScript runtime for scalable backend solutions

Projects

Cyber Attacks Detection on IoMT Devices

Development of advanced machine learning and deep learning techniques for detecting cyber attacks on Internet of Medical Things (IoMT) devices in the healthcare sector.

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Enhancing OCR for Urdu

Generation of more than 700,00 unique Urdu words images, and application of deep learning models for enhancing Optical Character Recognition (OCR) for Urdu language.

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Why Pakistan is the Way it is?

Ranking countries based on their economic and environmental well-being using Gapminder dataset containing data about many indicators like life expectancy, GDP etc from 1952 to 2012.

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Facebook Clone

A Python-based social networking system that replicates the core functionalities of Facebook and covers fundamental features such as user profiles, friend requests, posts, comments, and messaging.

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Mass Reporting and Intelligent Traffic Violation Detection

Developing a scalable cloud-native platform using AWS/Azure for citizen-driven traffic violation reporting, incorporating MLOps pipeline for evidence validation and real-time processing.

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