Yaseen Nasir
Product Designer 3D modeling | Give life to your Imagination
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Designed a detailed Iron Man-inspired helmet in SolidWorks using advanced surface and solid modeling techniques. Created the complete 3D model with accurate proportions, smooth contours, and intricate design features. The project demonstrates expertise in complex shape modeling, product visualization, and CAD design. Suitable for rendering, prototyping, cosplay projects, or 3D printing. Deliverables included SolidWorks source files, high-quality renders, and production-ready 3D models.
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During my internship at CISS Global International Research Group, I worked on a reverse engineering project inspired by an existing hemoperfusion device. Under professional guidance, I developed Hemolayer One, a redesigned concept with improved structural features and a unique CAD architecture. The project involved product analysis, 3D CAD modeling in SolidWorks, component design, assembly creation, and design optimization. This work enhanced my skills in reverse engineering, product development, and medical device design methodologies.
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Project Description
Developed an advanced AI-powered web application that splits any audio track into isolated vocal and instrumental stems with studio-grade precision. Built the frontend using React.js and Tailwind CSS, seamlessly integrating the industry-standard Demucs AI model to handle complex audio source separation.
Key Technical Features Implemented:
Demucs AI Integration: Leveraged Demucs' deep learning architecture to cleanly isolate vocals and background music without losing audio fidelity or introducing artifacts.
Dynamic React UI: Architected an intuitive, state-driven user interface featuring smooth file drag-and-drop areas, real-time extraction progress meters, and independent audio players for individual stems.
Efficient File Pipeline: Engineered a robust processing pipeline that securely handles high-quality audio formats, executes the separation algorithm, and delivers instantly downloadable independent WAV/MP3 files.
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📝 Updated Project Description (Copy & Paste)
Engineered a privacy-first, ultra-fast web utility that removes image backgrounds entirely inside the user's browser, eliminating server-side upload overhead. Built the frontend using Next.js and Tailwind CSS, leveraging client-side Web Assembly (Wasm) or JavaScript-based AI models to process images locally.
Key Technical Features Implemented:
100% Client-Side Processing: Utilized browser-based execution to isolate and strip backgrounds instantly without ever uploading user images to a backend server.
Zero Server Overhead Architecture: Optimized the application to run purely on the client side, ensuring absolute user data privacy and zero server hosting costs.
Smooth Offline Capability: Developed a highly responsive UI with Next.js that manages local image memory efficiently, allowing seamless drag-and-drop actions and instant high-res PNG downloads.
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📌 Project Title
Dynamic QR Code Generator & API Utility
📝 Project Description (Copy & Paste)
Engineered a fast, lightweight, and secure full-stack web utility that allows users to instantly generate custom, high-resolution QR codes for URLs, text, and digital business cards. Built using Python Django for robust backend rendering and server-side logic, combined with a clean Next.js frontend.
Key Technical Features Implemented:
Instant Server-Side Generation: Developed dynamic endpoints that generate and serve clean vector/PNG QR codes on the fly.
Custom Logic Handling: Implemented parameters allowing users to input varied data structures (V-cards, text, links) with automatic data validation.
Optimized Frontend Interface: Built a clean, minimalist UI with Tailwind CSS that allows seamless user inputs and instant file downloads.
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📌 Project Title
Al-Barikh – Full-Stack Student E-Commerce Platform
🛠️ Your Role
Full-Stack Web Developer / Software Engineer
📝 Project Description
Engineered a high-performance, full-stack E-Commerce platform designed specifically for university students to buy and sell products seamlessly. Built completely from scratch using Python Django for a secure backend and Next.js/React for a lightning-fast, responsive user interface.
Key Technical Features Implemented:
Robust Backend: Architected custom RESTful APIs and optimized database schemas to handle rapid product queries.
Airtight Security: Implemented secure JWT user authentication and role-based permissions for distinct user profiles.
Dynamic Frontend: Developed a fully responsive UI with Tailwind CSS, featuring modern product catalogs, dynamic filtering, and a lag-free shopping cart.
Live Demo Ready: Deployed a fully functional production-grade demo version featuring real-time inventory updates and a seamless mock checkout pipeline.
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