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✩ Bilal Ashiq ✩

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Artificial Intelligence Python Database Data Structure HTML5 CSS3 JavaScript Bootstrap Spring Boot Oracle C# Linux Ubuntu Arch Linux Fedora Linux Mint Linux VMware C++ Java Web Development Microsoft Office React Node.js FastAPI Flask MongoDB VS Code Cursor AI Stack Overflow Machine Learning Postman Internee GitHub SQLAlchemy Figma jQuery Canva AWS Assembly

Academic Background

  • FAST NUCES (Faisalabad) | BS Computer Science (2022- 2026)
  • Quaid-e-Azam University | BS Information Technology (2021-2022)

Tᴇᴄʜ sᴛᴀᴄᴋ & Lᴀᴛᴇsᴛ ʙʟᴏɢs

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Current Learning

  • Expanding my expertise in React.js for full-stack development.
  • Deepening my understanding of Machine Learning concepts.
  • Enhancing my backend skills with Mpngo , Flask/FastAPI and API development.
  • Working with SQL and NoSQL databases for efficient data handling.
  • Integrating OpenAI APIs with chatbot automation.
  • Understanding web/app deployment
  • Working at Figma and Canva for complete designs

GitHub Streak LeetCode Stats

😊  Learn more about me!
🌐   NeuroSecure


🤝 Cᴏɴɴᴇᴄᴛ Wɪᴛʜ Mᴇ 🤝

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  1. Comfort-Studio Comfort-Studio Public

    A premium, full-featured e-commerce platform for home furniture and interior decor. It is engineered with a modern, decouple-monorepo architecture featuring an interactive Next.js storefront client…

    TypeScript 2

  2. NeuroSecure NeuroSecure Public

    NeuroSecure is a Chrome extension designed to enhance digital privacy using real-time, on-device AI. It analyzes the webcam stream locally, identifies unfamiliar faces near the user, and automatica…

    TypeScript 1

  3. Generative-Adversarial-Lab-PyTorch Generative-Adversarial-Lab-PyTorch Public

    A comprehensive implementation of GAN architectures including DCGAN, WGAN-GP, Pix2Pix, and CycleGAN for image generation and domain translation. This project explores tackling mode collapse and per…

    Jupyter Notebook

  4. RAG-for-Diagnostic-Reasoning-on-Clinical-Notes-DiReCT- RAG-for-Diagnostic-Reasoning-on-Clinical-Notes-DiReCT- Public

    An end-to-end clinical Retrieval-Augmented Generation prototype that retrieves relevant patient-note context with MiniLM + FAISS and produces grounded natural-language responses with FLAN-T5.

    Jupyter Notebook

  5. Phishing-Hunter Phishing-Hunter Public

    Information Security (IS) Project made with the help of Machine/Deep Learning model. Training a GPT-2 model to classify URLs into three categories: benign, defacement, and phishing, using a dataset…

    Jupyter Notebook

  6. WebcamAccess_withoutPermission WebcamAccess_withoutPermission Public

    A secure, consent-based webcam capture and encrypted cloud storage using Flask, OpenCV, and the Dropbox API. It explores camera permissions, privacy protection, secure API token management, access …

    Python