Building practical, scalable software and AI-powered products — learning by building.

I’m a Software Engineering undergraduate at the University of Engineering & Technology (UET) Taxila — currently in my third year and expected to graduate in September 2026. I’m passionate about turning ideas into real-world products, especially in Artificial Intelligence, Machine Learning, Computer Vision, and Natural Language Processing. I believe in continuous learning through hands-on projects and real-world problem solving.

I’m actively looking for internship opportunities, freelance projects, and collaborations where I can contribute meaningfully and grow as a software engineer.

• Build full-stack applications and AI systems with production-ready thinking
• Prototype and deploy ML / CV / NLP models
• Design backend APIs and mobile-connected services
• Automate workflows and build developer-friendly tools

• Programming Languages: Python, Java, C++, SQL, JavaScript
• AI & ML: Supervised Learning, NLP, Computer Vision, Deep Learning — TensorFlow, PyTorch, Scikit-learn
• Web & Backend: Flask, REST APIs, HTML, CSS, JavaScript
• Mobile: Cross-platform app development, API integration, backend-connected mobile apps
• Data & Tools: NumPy, Pandas, Matplotlib, Git, GitHub, Docker

A production-oriented MVP integrating Computer Vision and AI for a real-world problem. Features real-time processing, intelligent decision-making, and a scalable architecture with the goal to evolve beyond an academic prototype.

A mobile app connecting daily-wage workers (electricians, plumbers, technicians) with customers. Includes user registration, service listings, in-app communication, and backend integration to solve real employment accessibility problems.

Desktop application built with JavaFX and Oracle Database. Implements user/admin modules, seat reservations, and transaction-backed database management.

A machine-learning pipeline that predicts diabetes likelihood using medical datasets. Emphasizes data preprocessing, feature engineering, model training, and evaluation.

NLP tool that extracts and indexes content from multiple PDFs, enabling contextual Q&A across documents for fast information retrieval.

Flask-based web app with a Python backend that performs intensive image processing tasks and provides a smooth frontend loading experience while processing runs.

A Python automation project illustrating real-time input handling, algorithmic logic, and precise scripting.

A Python simulation of trading strategies with rule-based decision-making and data-driven signals.

Personal website built with HTML, CSS, and JavaScript to showcase projects, resume, and contact information.

(If you want direct repository links and live demos added here, I can insert them for each project.)

Bachelor of Software Engineering
University of Engineering & Technology (UET) Taxila
Expected Graduation: September 2026

• Python Programming — Google (Coursera)
• Supervised Machine Learning — Stanford Online (Andrew Ng, Coursera)
• Generative AI Concepts
• Introduction to Docker
• Interaction with Operating Systems using Python

• Advanced Natural Language Processing
• Computer Vision for real-world applications
• Deep Learning with TensorFlow & PyTorch
• Model deployment, optimization, and scaling for production
• Mobile app scalability and backend integration

• Email: uetawais42@gmail.com
• GitHub: Awais-Nazir
• LinkedIn: M Awais Nazir

I enjoy building automation tools and AI-driven applications that address genuine problems. I write clean code, design practical systems, and love collaborating on solutions that scale. Feel free to explore my repositories and reach out for internships, freelance work, or collaboration.

Made with ☕ and curiosity — let’s build something useful!