Muzamil Asghar
I am a motivated Software Engineer with a strong foundation in artificial intelligence, machine learning, software development, and full-stack web technologies.
About
I am a motivated Software Engineer with a strong foundation in artificial intelligence, machine learning, software development, and full-stack web technologies. I enjoy building practical, AI-powered solutions using Python and modern development tools, with hands-on experience creating predictive models, interactive dashboards, real-time applications, APIs, and responsive web systems. My project experience includes credit risk, heart disease, customer segmentation, student performance, and real estate price prediction applications.
I am passionate about solving real-world problems through technology and continuously expanding my skills through research, learning, and practical development. I have worked with machine learning workflows, data preprocessing, feature engineering, visualization, asynchronous programming, database integration, testing, deployment, and version control. I am especially interested in artificial intelligence, machine learning, open-source development, and opportunities to contribute to innovative software products.
- Joined October 2026
Languages
- UrduFluent
- EnglishIntermediate
Industry experience
- Software & Internet
- Computers & Electronics
- Education
- Financial Services
- Healthcare
- Real Estate & Construction
Work experience
Developed WeatherWise CLI, a real-time weather application using Python and the OpenWeatherMap API. Implemented asynchronous programming with aiohttp, created Matplotlib dashboards for weather analytics, and applied API integration, error handling, configuration management, and Git version control. Improved application performance while following clean coding and software engineering practices.
Developed and deployed machine learning models using Python, Scikit-learn, XGBoost, and Streamlit. Built solutions for credit risk, heart disease, customer segmentation, student performance, and real estate price prediction. Performed data preprocessing, feature engineering, model evaluation, and hyperparameter tuning with GridSearchCV. Designed interactive dashboards and AI applications using Streamlit and Plotly, while working with Pandas, NumPy, Matplotlib, and Git.
Developed responsive full-stack web applications using modern frontend and backend technologies. Built RESTful APIs, integrated databases, and collaborated with developers using Git and Agile practices. Participated in testing, debugging, deployment, and maintenance, and received the Best Performance Award for outstanding technical contributions during the internship.
Education· 6
Certifications and awards· 10
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