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Improving everyday
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Improving everyday
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Achievement: YOLOAchievement: Pull Shark

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mrpouyaalavi/README.md

Typing SVG

LinkedIn Portfolio CIFAR-10 Demo GitHub Email Profile Views



> ./about_me --verbose

╔══════════════════════════════════════════════════════════════════════╗
║  🎓  Final-Year IT Student — Macquarie University (Nov 2026)         ║
║  🌐  Building full-stack web applications with Next.js & TypeScript  ║
║  🧩  Main project: Syllabus Sync — student productivity platform     ║
║  🤖  Applied ML: CIFAR-10 deep learning pipeline with Gradio & HF    ║
║  🔐  Auth, MFA, RLS, rate limiting, and security-hardened systems    ║
║  🌍  Multilingual UX, RTL support, WCAG accessibility, and testing   ║
║  🧪  CI/CD with GitHub Actions, Vitest, Playwright, and Vercel       ║
║  🤝  Open to Graduate · Junior · Early-Career software roles         ║
╚══════════════════════════════════════════════════════════════════════╝


> skills --list-all


[ LANGUAGES ]

Python TypeScript JavaScript Java SQL HTML CSS

[ FRONTEND ]

React Next.js Tailwind CSS

[ BACKEND & DATA ]

Node.js PostgreSQL Supabase REST APIs

[ APPLIED AI / ML ]

PyTorch scikit-learn Jupyter Gradio Grad-CAM

[ TESTING & DEVOPS ]

Git GitHub Actions Vercel Docker Vitest Playwright



> cat stats.json



   

GitHub Streak



> htop --graph

Activity Graph



> ls -la /projects/

🚀 Syllabus Sync — Student Productivity Platform

Full-stack web application for academic planning and campus support at Macquarie University

  • Academic planning, deadline tracking, and campus navigation in one place
  • Multilingual support with RTL layout and mobile-first design
  • Secure authentication with MFA, row-level security, and rate limiting
  • Accessibility and internationalisation improvements aligned with WCAG principles
  • CI/CD workflows with GitHub Actions and deployment on Vercel

🔗 Live Demo  ·  📁 Repository

🤖 CIFAR-10 Image Classification — Deep Learning Pipeline

End-to-end image classification pipeline comparing training approaches with a live interactive demo

  • Evaluated multiple deep learning architectures on CIFAR-10 under controlled conditions
  • Built with Python, PyTorch, Jupyter, Gradio, and deployed on Hugging Face Spaces
  • Applied data augmentation, cosine annealing, and progressive unfreezing for improved generalisation
  • Extended with Grad-CAM interpretability, INT8 quantisation, CLI inference tools, and a Gradio interface
  • ResNet-18 achieved 87.48% test accuracy using transfer learning, outperforming the custom CNN baseline

🔗 Live Demo  ·  📁 Repository


> ping --connect

> Establishing connection...
> Protocol   : HTTPS  |  Auth: Open
> Target     : Pouya Alavi Naeini — Software Engineer | Applied AI/ML
> Location   : Sydney, Australia
> Status     : [●] ONLINE — open to graduate & early-career opportunities

LinkedIn Email

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  1. syllabus-sync syllabus-sync Public

    Full-stack student productivity platform for Macquarie University students with academic planning, campus support, and multilingual user experience

    TypeScript

  2. CIFAR-10-Image-Classification CIFAR-10-Image-Classification Public

    CIFAR-10 image classification project comparing a custom CNN, MobileNetV2, and ResNet-18 with Grad-CAM interpretability, CLI inference tools, and a live Gradio demo deployed on Hugging Face Spaces.

    Jupyter Notebook