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Mohammad Azimi — Personal Portfolio

Intelligent Systems · Reinforcement Learning · Software Development

A cinematic personal portfolio presenting my academic journey, technical skills, research background, professional experience and projects as I continue building my path in Intelligent Systems and Artificial Intelligence.

Live Website · LinkedIn · GitHub Profile


Mohammad Azimi Portfolio Preview

About the Portfolio

This portfolio was redesigned as a modern, animated web experience centered on my academic and professional direction in Intelligent Systems, with a primary interest in Reinforcement Learning and an additional interest in Computer Vision.

I am a Computer Engineering graduate enrolled in the Master's program in Intelligent Systems at Peter the Great St. Petersburg Polytechnic University.

Featured Sections

  • Cinematic Hero — an interactive Reinforcement Learning-inspired visual scene built around Agent, Action and Reward.
  • About Me — personal introduction and current AI direction.
  • Skills & Languages — development tools, AI interests and language abilities.
  • Education — academic timeline, including my Russian Language and Pre-University Preparatory Course and Master's enrollment.
  • Experience — university employment, technical internship and independent AI learning.
  • Achievements — certifications and academic accomplishments.
  • Research & Publications — published conference research in Artificial Intelligence and Computer Vision.
  • Projects — product-focused showcase of my Habit Tracker application.
  • Contact — direct contact form integrated with Formspree.

Featured Project

Habit Tracker

A modern habit tracking web application designed to support consistent routines through daily check-ins, progress analytics and push notification reminders.

Key features:

  • Daily habit tracking and completion logs
  • Progress monitoring dashboard
  • Scheduled push reminders
  • Progressive Web App experience
  • Responsive user interface

Technologies: React, Vite, Tailwind CSS, PWA, Push Notifications

Live Demo · Source Code

Research & Publication

Early Detection of Forest Fires Using Unmanned Aerial Vehicles and Artificial Intelligence

Published conference paper exploring the use of unmanned aerial vehicles, artificial intelligence and computer vision for early smoke and forest-fire detection.

Topics: Artificial Intelligence, Computer Vision, UAV, Forest Fire Detection, Crisis Management

View Publication

Built With

  • React — component-based user interface
  • Vite — development and production build tooling
  • Tailwind CSS — responsive visual styling
  • GSAP + ScrollTrigger — cinematic scroll-driven animations
  • Formspree — functional contact form submission
  • React Icons / Lucide React — interface and brand icons
  • GitHub Actions — automated GitHub Pages deployment

Running Locally

git clone https://github.com/mohammad-azimi/mohammad-azimi.github.io.git
cd mohammad-azimi.github.io
npm install
npm run dev

Open the local development URL shown in the terminal.

Production Build

npm run build
npm run preview

Deployment

The portfolio is deployed on GitHub Pages through a GitHub Actions workflow. Every deployment from the main branch builds the Vite application and publishes the generated production files.

Contact


Designed and developed by Mohammad Azimi

About

Cinematic AI-focused portfolio highlighting my journey in Intelligent Systems, Reinforcement Learning, research, and product development.

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