👋 About Me

🎓 BSIT student at FCIT, University of the Punjab, Lahore — Batch 2024 💡 Passionate about turning raw data into meaningful, usable insight 🧠 Currently deep-diving into Artificial Intelligence & Machine Learning 🛠️ Comfortable across the stack — from low-level C / C++ to high-level Python & Data Analytics 🚀 Focused on building small, practical projects rather than theory alone 🌍 Based in Lahore, Pakistan

💭 Words I Build By

"Discipline in code today builds the intelligence of tomorrow." — On habit, patience & long-term craft

"Code is like humor. When you have to explain it, it's bad." — Cory House

"Bridging the gap between academic foundation and industrial innovation, one line of code at a time."

🛠️ Hands-on Development Contributing to real-world software solutions and expanding my engineering toolkit with every sprint.

🤝 Collaborative Growth Working alongside professional teams to design and ship scalable, high-impact systems.

📚 Continuous Learning Applying my passion for AI/ML and data-driven logic to solve complex engineering challenges.

✔ Frontend Interfaces using React and modern JavaScript

✔ Desktop Applications using C++ and Python

✔ Database-driven Systems with SQL

✔ Data Analytics Dashboards and Reports

✔ AI & Machine Learning Projects

✔ Software Engineering Projects following Clean Code Principles

I enjoy solving real-world problems through software and data. My current learning journey is centered around Frontend Engineering, Artificial Intelligence, Machine Learning, and System Design, while continuously strengthening my programming and analytical skills through practical projects.

_{Jul 2026 – Oct 2026}

A modern, full-stack e-commerce platform delivering a seamless, highly interactive shopping experience for books and stationery.

• Frontend Architecture: Engineered the UI with Next.js 16 (App Router), React 19, and TypeScript, ensuring strict type safety and optimized server-side rendering.
• Interactive UI/UX: Crafted a responsive, glassmorphic-inspired interface using Tailwind CSS, enhanced with Framer Motion for fluid, spring-based animations and layout transitions.
• Backend & Database: Designed robust data models using Prisma ORM connected to an edge-compatible SQLite/LibSQL database.
• State & Security: Managed complex client-side state (shopping cart, user sessions) using Zustand. Implemented secure edge-runtime JWT authentication via Jose and Bcryptjs, alongside Google OAuth for social logins.
• Automated Workflows: Integrated the Resend API for transactional order confirmations and utilized PDFKit to dynamically generate server-side receipts and invoices.

A full-stack e-commerce web application for browsing, purchasing, and managing jewellery products, built with ASP.NET Core MVC and Entity Framework Core on SQL Server.

• Architected a robust MVC backend using C# and ASP.NET Core 8.0, implementing the Repository pattern to cleanly manage data access and authentication flows.
• Implemented comprehensive user authentication, secure login/signup logic, and a dedicated verification module using ASP.NET Core Identity.
• Integrated MailKit for a resilient, multi-provider email delivery service for automated notifications and confirmations.
• Designed a responsive frontend with Bootstrap 5 and ViewModels, featuring dynamic category tab filtering logic.
• Built a custom Admin Panel as an automated CMS, with live database syncing and logic to prevent database wipes during server restarts.
• Configured automated EF Core migrations for version-controlled schema updates, plus self-healing routines for broken product image URLs.
• Containerized the complete application and live CMS backend with Docker, streamlining deployments across cloud environments.

_{May 2026 – Jun 2026}

An interactive 3D anatomy platform delivering photorealistic WebGL specimen exploration for students, educators, and medical professionals worldwide.

• Built an interactive WebGL-based rendering pipeline for highly detailed, photorealistic 3D anatomical models with full orbit, pan, and zoom controls.
• Implemented dynamic layer management, letting users isolate, toggle, and explore specific biological systems (skeletal, muscular, nervous, etc.).
• Developed an intuitive React.js interface with spatial overlays, contextual annotations, and rich medical metadata linked directly to 3D coordinates.
• Optimized 3D asset delivery using geometry compression (GLTF/Draco), texture optimization, and lazy loading for high-performance rendering.
• Integrated backend services and APIs for dynamic educational content, model metadata, and interactive anatomical datasets.
• Added multi-angle viewpoints, real-time lighting adjustments, customizable cross-sections, and guided specimen tours.
• Engineered for robust cross-platform compatibility — smooth frame rates and high visual fidelity on both desktop and mobile browsers.

A high-precision computer vision framework engineered for small-object detection — combining a custom 4-head P2 YOLOv8 network, SAHI sliced inference for 4K aerial imagery, and real-time open-vocabulary YOLO-World detection across 200+ classes. Optimized for micro-target tracking with COCO mAP_S benchmark evaluation.

• Grow as a Frontend Engineer through real production work at FlyRankAi.
• Build practical Machine Learning projects from real-world datasets.
• Strengthen software engineering fundamentals through scalable applications.
• Learn modern System Design concepts and backend architecture.
• Contribute to open-source projects and collaborate with developers.
• Continuously improve problem-solving and analytical thinking.

I believe the best way to learn is by building. Every concept I study is reinforced through hands-on projects, experimentation, and continuous improvement. My goal is to develop solutions that are practical, maintainable, and impactful.

🎨 Building production UI features as a Frontend Engineer at FlyRankAi 🧩 Strengthening software engineering fundamentals — design patterns, clean code, and Git workflows 🏗️ Learning the basics of system design and scalable backend architecture 📊 Building a portfolio of Data Analytics dashboards using Power BI 🤖 Applying classic ML algorithms to real-world datasets 🌐 Planning to contribute to beginner-friendly open-source repositories

📬 Connect With Me

💬 Let's Build Together

I enjoy collaborating on projects related to Frontend Engineering, Artificial Intelligence, Machine Learning, Data Analytics, and Software Engineering. Whether it's building innovative solutions, contributing to open source, or exchanging ideas, I'm always excited to connect with developers and learners around the world.

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