Amna Zafar

Software Engineer

Building innovative solutions through clean code, cutting-edge technologies, and a passion for problem-solving.

About Me

Learn more about my background, expertise, and professional journey

Passionate about Technology and Innovation

I'm a Computer Science graduate from the University of Engineering and Technology Lahore with a strong foundation in software development and artificial intelligence. My academic journey has equipped me with expertise in C++, C#, Python, and specialized knowledge in AI and Machine Learning.

With a CGPA of 3.0, I've consistently demonstrated my ability to tackle complex technical challenges and deliver innovative solutions. My final year project, Viscure, showcases my ability to integrate advanced AI techniques into practical applications that can make a real difference in fields like healthcare.

I'm passionate about leveraging technology to solve real-world problems and am always eager to take on new challenges that push the boundaries of what's possible with software and AI.

Technical Skills

My expertise spans programming languages, frameworks, and specialized domains

Python

Proficient in Python for data analysis, machine learning, and backend development. Experienced with libraries like TensorFlow, PyTorch, and Scikit-learn.

C++ and C#

Strong foundation in C++ for system-level programming and C# for application development. Experienced with object-oriented design principles.

AI and Machine Learning

Expertise in developing and implementing AI models for prediction, classification, and data analysis. Familiar with neural networks and deep learning.

Web Development

Skilled in creating responsive web applications using HTML, CSS, JavaScript, and modern frameworks. Focused on user experience and performance.

Personal Projects

Explore my portfolio of innovative software solutions and research projects

Viscure Project

Viscure: Drug Discovery and Visualization

An end-to-end open-source platform that automates the early-stage drug discovery pipeline using tools like OpenBabel, AutoDock Vina, and DeepChem. Integrated AI models for QSAR, ADMET prediction, and docking score estimation to screen potential drug molecules efficiently.

Python DeepChem AutoDock Vina OpenBabel AI/ML
Coffee Shop Project

My Coffee Shop: Responsive Web Application

A fully responsive web application featuring a modular layout using semantic HTML and CSS Grid/Flexbox. Integrated transitions, hover effects, and icon libraries (Boxicons) to enhance interactivity and user engagement. Includes structured multi-section navigation, product listings, customer reviews, and a styled footer with real-world social and contact links.

HTML5 CSS3 JavaScript Responsive Design Boxicons

Education

My academic background and qualifications

Bachelor of Science in Computer Science

University of Engineering and Technology Lahore

CGPA: 3.0

Graduated with a solid foundation in computer science principles, software engineering, and artificial intelligence. My coursework included advanced algorithms, data structures, machine learning, software design patterns, and database systems. The program emphasized both theoretical knowledge and practical application through projects and internships.


During my studies, I developed a keen interest in the intersection of computer science and healthcare, which led me to pursue my final year project in drug discovery using AI techniques.

Get In Touch

Have a project in mind or want to discuss potential opportunities? Feel free to reach out!

Email

ai.amnazafar@gmail.com

Phone

+92 3224170222

Location

Lahore, Pakistan