Hi, I'm Maaz Mahmood
I build scalable web apps & AI solutions
Computer Science student passionate about building impactful digital products with clean, maintainable code and modern technologies.
developer = {
name: "Maaz Mahmood",
role: "Full Stack",
status: "Available"
};
About Me
My Journey & Background
Who am I?
I am a dedicated Computer Science student with a deep passion for software engineering and artificial intelligence. My technical interest lies in building robust full-stack web applications and creating intelligent AI systems that solve real-world problems.
I enjoy translating complex requirements into elegant, accessible, and performant code. I'm constantly learning new tools, algorithms, and architectures to improve my crafts and build better digital solutions.
Career Goals
My objective is to work at the intersection of full-stack engineering and machine learning. I aim to contribute to high-impact projects that leverage intelligent data architectures, clean layouts, and predictive engines to empower users worldwide.
Education
BS in Computer Science
NUST / University of Computer Science
My Tech Stack
Skills & Expertise
Frontend Development
Backend Development
Databases
AI / Machine Learning
Developer Tools
My Work
Featured Projects
Explore a curated selection of full-stack web applications, custom tools, and artificial intelligence solutions.
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<h1>Resumify</h1>
</section>
<section class="project">
<h1>EcoSphere SaaS Dashboard</h1>
</section>
My Path
Work Experience
Software Engineering Intern
Assisted in building custom Next.js frontend pages, optimizing database queries with Prisma, and designing scalable API routes. Contributed to responsive, mobile-first design updates.
Freelance Full-Stack Developer
Developed and launched custom web applications, responsive portfolios, and administrative interfaces. Worked directly with clients to identify business goals, setup Supabase hosting, and design robust database schemas.
Open-Source Contributor
Contributed features and bug fixes to developer tools, CLI utilities, and LangChain ecosystem integrations. Focused on improving search performance and documentation for vector databases.
Interested in collaborating or have a project in mind?
Let's work together and build something amazing.
Get In Touch
Send Me A Message